- The review process is now over: 184 contributions have been accepted as posters. They will be published in the Companion Volume (and hence in the Digital Library) and shown during the poster session of the conference.
- Search the list below by typing text in the column headers.
- See also the list of accepted papers.
- The Call for Papers and the Papers Submission Instructions are still available for your information.
List of Accepted Posters
| Track | Title | Authors |
|---|---|---|
| Designing a Novel and High Performance Algorithmic Trading Model using Evolutionary AutoML and Technical Analysis | Abhiram Tirumala (Georgia Institute of Technology), Rishi Bhatnager (Georgia Institute of Technology), Sriram Mudireddy (Georgia Institute of Technology), Pranav Manjunath (Georgia Institute of Technology), Jason Zutty (Georgia Tech Research Institute) | |
| Geodesics, Non-linearities and the Archive of Novelty Search | Achkan Salehi (Sorbonne University), Alexandre Coninx (Sorbonne University), Stephane Doncieux (Sorbonne University) | |
| Diversification Techniques and Distance Measures in Evolutionary Design of 3D Structures | Adam Klejda (Poznan University of Technology), Maciej Komosinski (Poznan University of Technology, Institute of Computing Science), Agnieszka Mensfelt (Poznan University of Technology, Institute of Computing Science) | |
| External Archive Hybrid Genetic Algorithm for Unequal Area Facility Layout Problem | Ailing Shen (Fujian Agriculture and Forestry University), Juan Lin (Fujian Agriculture and Forestry University), Yiwen Zhong (Fujian Agriculture and Forestry University) | |
| Facility Location Problem And Permutation Flow Shop Scheduling Problem: A Linked Optimisation Problem | Akinola Ogunsemi (Robert Gordon University), John McCall (Robert Gordon University), Mathias Kern (British Telecom), Benjamin Lacroix (Robert Gordon University), David Corsar (Robert Gordon University), Gilbert Owusu (British Telecom) | |
| ACO-SI | Ant Colony Optimization for Feature Selection via a Filter-Randomized Search Heuristic | Alberto Ortega (University of Granada), Juan José Escobar (University of Granada), Miguel Damas (University of Granada), Andrés Ortiz (University of Málaga, Andalusian Data Science and Computational Intelligence Institute (DaSCI)), Jesús González (University of Granada) |
| Neighbours Similar Fitness and the Effectiveness of Restarting Local Search | Aldeida Aleti (Monash University), Mark Wallace (Monash University, Opturion), Markus Wagner (The University of Adelaide) | |
| Selection schemes from evolutionary computing show promise for directed evolution of microbes | Alexander Lalejini (University of Michigan), Emily Dolson (Michigan State University), Anya Vostinar (Carleton College), Luis Zaman (University of Michigan) | |
| Independent Influence of Exploration and Exploitation for Metaheuristic-based Recommendations | Alexandre Bettinger (UL CNRS LORIA), Armelle Brun (UL CNRS LORIA), Anne Boyer (UL CNRS LORIA) | |
| A Hyper-Heuristic Approach for the PDPTW | Amir Nasiri (University of Exeter), Edward Keedwell (University of Exeter), Raphael Dorne (British Telecommunications Group), Mathias Kern (British Telecommunications Group), Gilbert Owusu (British Telecommunications Group) | |
| Environments with Local Scopes for Modules in Genetic Programming | Anil Saini (University of Massachusetts Amherst), Lee Spector (Amherst College, University of Massachusetts Amherst), Thomas Helmuth (Hamilton College) | |
| A Hybrid Optimization Tool For Active Magnetic Regenerator | Anna Ouskova Leonteva (University of Strasbourg), Michel Risser (Ubiblue), Radia Hamane (University of Caen), Anne Jeannin Girardon (University of Strasbourg), Pierre Parrend (EPITA), Pierre Collet (University of Strasbourg) | |
| Evolutionary-based Automated Testing for GraphQL APIs | Asma Belhadi (Kristiania University College), Man Zhang (Kristiania University College), Andrea Arcuri (Kristiania University College, Oslo Metropolitan University) | |
| GP | On the Effect of Embedding Hierarchy within Multi-Objective Optimization for Evolving Symbolic Regression Models | Atif Rafiq (University of Limerick), Enrique Naredo (University of Limerick), Meghana Kshirsagar (University of Limerick), Conor Ryan (University of Limerick) |
| Fair Feature Subset Selection using Multiobjective Genetic Algorithm | Ayaz Ur Rehman (North Dakota State University), Anas Nadeem (North Dakota State University), Muhammad Zubair Malik (North Dakota State University) | |
| Entropy-Based Local Fitnesses for Evolutionary Multiagent Systems | Ayhan Alp Aydeniz (Oregon State University), Anna Nickelson (Oregon State University), Kagan Tumer (Oregon State University) | |
| GP | On the interaction between Lexicase Selection, Modularity and Data Subsets | Benjamin Portman (Dalhousie University), Malcolm Heywood (Dalhousie University) |
| Routing for Bridge Inspecting Robots Using a Meta-heuristic Genetic Algorithm | Bryan Dedeurwaerder (University of Nevada, Reno), Sushil Louis (University of Nevada, Reno), Siming Liu (Missouri State University), Nicholas Harris (University of Nevada, Reno) | |
| QDax: On the Benefits of Massive Parallelization for Quality-Diversity | Bryan Lim (Imperial College London), Maxime Allard (Imperial College London), Luca Grillotti (Imperial College London), Antoine Cully (Imperial College London) | |
| Exploration Of Unknown Environments Via Evolution Of Behavioral And Morphological Properties Of Miniaturized Sensory Agents | Cagatay Sariman (University Hospital RWTH Aachen), Ahmed Hallawa (University Hospital RWTH Aachen), Erdi Sayar (Technical University of Munich), Arne Peine (University Hospital RWTH Aachen), Lukas Martin (University Hospital RWTH Aachen), Anke Schmeink (RWTH Aachen University) | |
| Empowered Neural Cellular Automata | Caitlin Grasso (University of Vermont), Josh Bongard (University of Vermont) | |
| Genetic Programming for Understanding Cognitive Biases that Generate Polarization in Social Networks | Chathika Gunaratne (Oak Ridge National Laboratory), Robert Patton (Oak Ridge National Laboratory) | |
| Improving DSMGA-II Performance on Hierarchical Problems by Introducing Preservative Back Mixing | Chi-Meng Ngai (National Taiwan University), Tian-Li Yu (National Taiwan University) | |
| Trimming, Ordering, and Similarity Check for DSMGA-II | Ching-Chung Huang (National Taiwan University), Tian-Li Yu (National Taiwan University) | |
| Adapting Mutation and Recombination Operators to Range-Aware Relations in Real-World Application Data | Christina Plump (DFKI), Bernhard Berger (Hamburg Institute of Technology), Rolf Drechsler (University of Bremen) | |
| On Generalizing the Power Function Exponent Constructions with Genetic Programming | Claude Carlet (University of Bergen), Domagoj Jakobovic (University of Zagreb), Stjepan Picek (Radboud University) | |
| Towards an Interactive Ranking Operator for NSGA-II | Cláudia Rosa (State University of Maringa), Willian Freire (State University of Maringa), Aline Amaral (State University of Maringa), Thelma Colanzi (State University of Maringa) | |
| A Computationally Fast but Approximate MIP-DoM Calculation for Multi-Objective Optimization | Claudio Lopes (A3Data, Centro Federal de Educação Tecnológica de Minas Gerais), Flávio Martins (A3Data, Centro Federal de Educação Tecnológica de Minas Gerais), Elizabeth Wanner (Centro Federal de Educação Tecnológica de Minas Gerais), Kalyanmoy Deb (Michigan State University) | |
| Enhancing MOEA/D with Learning: Application to Routing Problems with Time Windows | Clément Legrand (Université de Lille), Diego Cattaruzza (Université de Lille, Inria Lille - Nord Europe), Laetitia Jourdan (Université de Lille), Marie-Eléonore Kessaci (Université de Lille) | |
| Networks of evolution: Modelling and deconstructing genetic algorithms | Clodomir Santana (University of Exeter), Edward Keedwell (University of Exeter), Ronaldo Menezes (University of Exeter) | |
| Ant Colony Optimization with Shortest Route Biased Dispatch for Visiting Constrained Multiple Traveling Salesmen Problem | Cong Bao (Nanjing University of Information Science and Technology), Qiang Yang (Nanjing University of Information Science and Technology), Xu-Dong Gao (Nanjing University of Information Science and Technology), Zhen-Yu Lu (Nanjing University of Information Science and Technology), Jun Zhang (Hanyang University) | |
| CGP-NAS: Real-based solutions encoding for multi-objective evolutionary neural architecture search | Cosijopii Garcia-Garcia (Instituto Nacional de Astrofísica, Óptica y Electrónica), Hugo Escalante (Instituto Nacional de Astrofísica, Óptica y Electrónica), Alicia Morales-Reyes (Instituto Nacional de Astrofísica, Óptica y Electrónica) | |
| NE | Accelerating Neural Architecture Exploration Across Modalities Using Genetic Algorithms | Daniel Cummings (Intel Corporation), Sharath Sridhar (Intel Corporation), Anthony Sarah (Intel Corporation), Maciej Szankin (Intel Corporation) |
| Neuroevolution based Multi-Objective Algorithm for Gene Selection and Microarray Classification | Daniel García-Núñez (IIMAS-UNAM), Katya Rodríguez-Vázquez (IIMAS-UNAM), Carlos Hernández (IIMAS-UNAM) | |
| EML | Evolvable Hybrid Ensembles for Musical Genre Classification | Daniel Kostrzewa (Silesian University of Technology), Michal Ciszynski (Silesian University of Technology), Robert Brzeski (Silesian University of Technology) |
| An Edge Quality Aware Crossover Operator for Application to the Capacitated Vehicle Routing Problem | Darren Chitty (University of Exeter), William Yates (University of Exeter), Edward Keedwell (University of Exeter) | |
| Public Transport Timetable and Charge Optimization Using Multiple Electric Buses Types | David Peña (University of Cadiz), Bernabé Dorronsoro (University of Cadiz), Andrei Tchernykh (CICESE), Patricia Ruiz (University of Cadiz) | |
| Quantum-Enhanced Selection Operators for Evolutionary Algorithms | David Von Dollen (Leiden University, Volkswagen Group of America), Sheir Yarkoni (Volkswagen Group, Leiden University), Daniel Weimer (Volkswagen Group), Florian Neukart (Terra Quantum, Leiden University), Thomas Bäck (Leiden University) | |
| Denoising Autoencoder Genetic Programming for Real-World Symbolic Regression | David Wittenberg (Johannes Gutenberg University), Franz Rothlauf (Johannes Gutenberg University) | |
| Analyzing Optimized Constants in Genetic Programming on a Real-World Regression Problem | Dominik Sobania (Johannes Gutenberg University), Martin Briesch (Johannes Gutenberg University), David Wittenberg (Johannes Gutenberg University), Franz Rothlauf (Johannes Gutenberg University) | |
| Surrogate Models for IoT Task Allocation Optimization | Dominik Weikert (Otto von Guericke University Magdeburg), Christoph Steup (Otto von Guericke University Magdeburg), Sanaz Mostaghim (Otto von Guericke University Magdeburg) | |
| A Comparative Analysis on Genome Pleiotropy for Evolved Soft Robots | Dries Marzougui (Ghent University), Matthijs Biondina (Ghent University), Francis wyffels (Ghent University) | |
| The Effect of Mirrored Sampling with active CMA and Sample Reuse in the CMAES-APOP Algorithm | Duc Manh Nguyen (Hanoi National University of Education) | |
| A GA based Approach for Solving Ring Design Telecommunication Network | Eisa Alblooshi (ADNOC Gas Processing, EBTIC (Etisalat BT ICT Innovation Center)/ Khalifa University), Ahmad Alblooshi (Ministry of Education, KhalifaEBTIC (Etisalat BT ICT Innovation Center)/ Khalifa University University), Kin Poon (EBTIC (Etisalat BT ICT Innovation Center), Khalifa University), Anis Ouali (EBTIC (Etisalat BT ICT Innovation Center), Khalifa University) | |
| Evolving Robot Bodies with a Sense of Direction | Emiel Maarten Willem Kempen (Vrije Universiteit Amsterdam), Agoston E. Eiben (Vrije Universiteit Amsterdam) | |
| Extending the Push and Pull Search Framework with Boundary Search for Constrained Multi-Objective Optimization | Erling Wisløff (Norwegian University of Science and Technology), Marius Aarsnes (Norwegian University of Science and Technology), Kazi Shah Nawaz Ripon (Østfold University College), Pauline Haddow (Norwegian University of Science and Technology) | |
| Improving the Differential Evolution Strategy by coupling it with CMA-ES | Eryk Warchulski (Institute of Computer Science, Warsaw University of Technology), Jarosław Arabas (Institute of Computer Science, Warsaw University of Technology), Rafał Biedrzycki (Institute of Computer Science, Warsaw University of Technology) | |
| NE | Towards Optimizing Neural Networks’ Connectivity and Architecture Simultaneously with Feature Selection | Evgenia Papavasileiou (Vrije Universiteit Brussel, imec), Jan Cornelis (Vrije Universiteit Brussel), Bart Jansen (Vrije Universiteit Brussel, imec) |
| NE | Synaptic Pruning with MAP-Elites | Federico Da Rold (Ochanomizu University; Cross Labs, Cross Compass Ltd.), Olaf Witkowski (Cross Labs, Cross Compass Ltd.; Tokyo Institute of Technology), Nathanael Aubert-Kato (Ochanomizu University) |
| Multi-Objective Path Planning for Environmental Monitoring using an Autonomous Surface Vehicle | Federico Peralta (Universidad de Sevilla), Michael Pearce (Zenith AI), Matthias Poloczek (Amazon), Daniel Gutierrez Reina (Universidad de Sevilla), Sergio Toral (Universidad de Sevilla), Juergen Branke (University of Warwick) | |
| Exploring the Decision and Objective Space of SAT Constrained Multi-Objective Problems | Felipe Honjo Ide (Shinshu University), Hernan Aguirre (Shinshu University), Minami Miyakawa (Shinshu University), Darrell Whitley (Colorado State University) | |
| A Hyper-Heuristic Approach for Artificial Teeth Scheduling | Felix Winter (TU Wien), Nysret Musliu (TU Wien) | |
| Neuroevolutionary Multi-objective approaches to Trajectory Prediction in Autonomous Vehicles | Fergal Stapleton (Hamilton Institute, Maynooth University,; Naturally Inspired Computation Research Group), Edgar Galvan (Hamilton Institute, Maynooth University,; Naturally Inspired Computation Research Group), Ganesh Sistu (Valeo Vision Systems), Senthil Yogamani (Qualcomm Technologies) | |
| TGPGAN - Towards Expression-based Generative Adversarial Networks | Francisco Baeta (University of Coimbra), João Correia (University of Coimbra), Tiago Martins (University of Coimbra), Penousal Machado (University of Coimbra) | |
| Genetic programming for electric vehicle routing problem with soft time windows | Francisco Javier Gil Gala (University of Oviedo), Marko Durasevic (University of Zagreb, Faculty of Electrical Engineering and Computing), Domagoj Jakobović (University of Zagreb, Faculty of Electrical Engineering and Computing) | |
| Towards Evolutionary Self-Optimization of Large Multi-Agent Systems | Franciszek Seredyński (Cardinal Stefan Wyszyński University in Warsaw), Tomasz Kulpa (Cardinal Stefan Wyszyński University in Warsaw), Rolf Hoffmann (Technische Universitat Darmstadt) | |
| Effects of encodings and quality-diversity on evolving 2D virtual creatures | Frank Veenstra (University of Oslo), Martin Olsen (University of Oslo), Kyrre Glette (University of Oslo) | |
| Balancing Teams with Quality-Diversity for Heterogeneous Multiagent Coordination | Gaurav Dixit (Oregon State University), Kagan Tumer (Oregon State University) | |
| CS | Do Harsher Environments cause Selfish or Altruistic Behavior? | Geoff Nitschke (UCT), Brandon Gower-Winter (UCT) |
| Scalable Evolutionary Hierarchical Reinforcement Learning | Geoff Nitschke (UCT), Sasha Abramowitz (UCT) | |
| Bayesian Model Selection for Reducing Bloat and Overfitting in Genetic Programming for Symbolic Regression | Geoffrey Bomarito (NASA Langley Research Center), Patrick Leser (NASA Langley Research Center), Nolan Strauss (University of Utah), Karl Garbrecht (University of Utah), Jacob Hochhalter (University of Utah) | |
| Bootstrapped Fitness Critics with Bidirectional Temporal Difference | Golden Rockefeller (Oregon State University), Kagan Tumer (Oregon State University) | |
| Initialisation and Grammar Design in Grammar-Guided Evolutionary Computation | Grant Dick (University of Otago), Peter Whigham (University of Otago) | |
| Dynamic evaluation of Decomposition Methods for Large-Scale Optimization Problems using an Island Model | Grasiele Duarte (Federal University of Rio de Janeiro/COPPE), Beatriz Lima (Federal University of Rio de Janeiro/COPPE) | |
| Cooperative Attack-Defense Evolution of Large-Scale Agents: A Multi-Population High-Dimensional Mean-Field Game Approach | Guofang Wang (School of Mathematical Sciences, Beihang University), Xiao Zhang (School of Mathematical Sciences, Beihang University), Wang Yao (School of Mathematical Sciences, Beihang University), Lu Ren (School of Mathematical Sciences, Beihang University) | |
| A Novel Dynamic Analysis on Multi-scale Quantum Harmonic Oscillator Algorithm Using Double-well Function | Guosong Yang (Chengdu Institute of computer application, Chinese Academy of Sciences; Southwest Minzu University), Peng Wang (Southwest Minzu University), Xinyu Yin (Southwest Minzu University) | |
| Optimizing LLVM Pass Sequences with Shackleton: A Linear Genetic Programming Framework | Hannah Peeler (Arm), Shuyue Li (Department of Computer Science, Johns Hopkins University), Andrew Sloss (Arm), Kenneth Reid (Department of Animal Science, Michigan State University; BEACON Center for the Study of Evolution, Michigan State University), Yuan Yuan (Department of Compute Science and Engineering, Michigan State University; BEACON Center for the Study of Evolution, Michigan State University), Wolfgang Banzhaf (Department of Compute Science and Engineering, Michigan State University; BEACON Center for the Study of Evolution, Michigan State University) | |
| Initialization method of genetic algorithm based on improved clustering algorithm | Hao Li (Qilu University of Technology(Shandong Academy of Sciences)), XueSong Jiang (Qilu University of Technology(Shandong Academy of Sciences)), Xiumei Wei (Qilu University of Technology(Shandong Academy of Sciences)) | |
| Learning to Balance Exploration and Exploitation in Pareto Local Search for Multi-objective Combinatorial Optimization | Haotian Zhang (Xi'an Jiaotong University), Jialong Shi (Xi'an Jiaotong University), Jianyong Sun (Xi'an Jiaotong University), Zongben Xu (Xi'an Jiaotong University) | |
| Localized Distance and Time-based Differential Evolution for Multimodal Optimization Problems | Hong Zhao (Xidian University), Jia Li (Xidian University), Jing Liu (Xidian University) | |
| Multi-fidelity optimization method with Asynchronous Generalized Island Model for AutoML | Israel Campero Jurado (Eindhoven University of Technology), Joaquin Vanschoren (Eindhoven University of Technology) | |
| EML | On stochastic evolving algorithms | Iztok Fister (University of Maribor), Iztok Fister (University of Maribor) |
| GA-Auto-PU: A Genetic Algorithm-based Automated Machine Learning System for Positive-Unlabelled Learning | Jack Saunders (University of kent), Alex Freitas (University of kent) | |
| On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems | Jeroen Rook (University of Twente), Heike Trautmann (University of Münster), Jakob Bossek (University of Münster), Christian Grimme (University of Münster) | |
| A Novel Evolutionary Framework Based on a Family Concept for Solving Multi-objective Bilevel Optimization Problems | Jesus-Adolfo Mejia-de-Dios (University of Veracruz), Alejandro Rodriguez-Molina (Tecnologico Nacional de Mexico), Efren Mezura-Montes (University of Veracruz) | |
| Multi-task Optimisation for Multi-objective Feature Selection in Classification | Jiabin Lin (Victoria University of Wellington), Qi Chen (Victoria University of Wellington), Bing Xue (Victoria University of Wellington), Mengjie Zhang (Victoria University of Wellington) | |
| Regulatory Genotype-to-Phenotype Mappings Improve Evolvability in Genetic Programming | Jinting Zhang (Queen's University), Ting Hu (Queen's University) | |
| Dynamic Multi-objective Ensemble of Acquisition Functions in Batch Bayesian Optimization | Jixiang Chen (Southern University of Science and Technology), Fu Luo (Southern University of Science and Technology), Zhenkun Wang (Southern University of Science and Technology) | |
| Human Activity Recognition Using Grammar-based Genetic Programming | João de Freitas (Universidade Federal de Juiz de Fora), Heder Bernardino (Universidade Federal de Juiz de Fora), Luciana Gonçalves (Universidade Federal de Juiz de Fora), Stênio Soares (Universidade Federal de Juiz de Fora) | |
| CS | CoBEA: Framework for Evolving Hardware by Direct Manipulation of FPGA Bitstreams | Joern Hoffmann (Leipzig University), Clemens Fritzsch (Leipzig University), Martin Bogdan (Leipzig University) |
| Comparing different Metaheuristics for Model Selection in a Supervised Learning Classifier System | Jonathan Wurth (Universität Augsburg), Michael Heider (Universität Augsburg), Helena Stegherr (Universität Augsburg), Roman Sraj (Universität Augsburg), Jörg Hähner (Universität Augsburg) | |
| GA | Boosting the Convergence of a GA-based Wrapper for Feature Selection Problems on High-dimensional Data | Juan Gómez-López (CITIC, University of Granada), Juan Escobar (CITIC, University of Granada), Antonio Díaz (CITIC, University of Granada), Miguel Damas (CITIC, University of Granada), Francisco Gil-Montoya (Department of Engineering, University of Almería), Jesus González (CITIC, University of Granada) |
| Quantum Strategy of Population Initialization in Genetic Algorithm | Jun Suk Kim (Gwangju Institute of Science and Technology), Chang Wook Ahn (Gwangju Institute of Science and Technology) | |
| De-redundancy in a Random Boolean Network Using Knockout | Junxiu Liu (Guangxi Normal University), Jufang Dai (Guangxi Normal University), Min Su (Guangxi Normal University), Shunsheng Zhang (Guangxi Normal University), Yifan Hua (Guangxi Normal University), Yanhu Wang (Guangxi Normal University), Haiping Shu (Guangxi Normal University) | |
| Particle Swarm Optimisation for Sparsity-based Feature Selection in Multi-label Classification | Kaan Demir (Victoria University of Wellington), Bach Nguyen (Victoria University of Wellington), Bing Xue (Victoria University of Wellington), Mengjie Zhang (Victoria University of Wellington) | |
| RWA | Minimal Criterion Artist Collective | Kai Arulkumaran (ARAYA Inc.), Thu Nguyen-Phuoc (University of Bath) |
| An Effective Metaheuristic-based Pruning Method for Convolutional Neural Network | Kai-Hsun Tsai (National Sun Yat-sen University), Chun-Wei Tsai (National Sun Yat-sen University), Ming-Chao Chiang (National Sun Yat-sen University) | |
| Fitness Diversification in the Service of Fitness Optimization: a Comparison Study | Kamil Basiukajc (Poznan University of Technology), Maciej Komosinski (Poznan University of Technology, Institute of Computing Science), Konrad Miazga (Poznan University of Technology) | |
| GP | A preliminary study of Prediction Interval Methods with Genetic Programming | Karina Brotto Rebuli (University of Torino), Mario Giacobini (University of Torino), Niccolò Tallone (University of Torino), Leonardo Vanneschi (Universidade Nova de Lisboa) |
| PreDive: Preserving Diversity in Test Cases for Evolving Digital Circuits using Grammatical Evolution | Krishn Gupt (Technological University of the Shannon: Midlands Midwest; Biocomputing and Developmental Systems Group, University of Limerick), Meghana Kshirsagar (University of Limerick; Biocomputing and Developmental Systems Group, University of Limerick), Lukas Rosenbauer (BSH Home Appliances), Joseph Sullivan (Technological University of the Shannon: Midlands Midwest), Douglas Dias (University of Limerick; Biocomputing and Developmental Systems Group, University of Limerick), Conor Ryan (University of Limerick; Biocomputing and Developmental Systems Group, University of Limerick) | |
| Compositional Genetic Programming for Symbolic Regression | Krzysztof Krawiec (Poznan University of Technology), Dominik Kossiński (Poznan University of Technology,) | |
| Accelerated Pattern Search with Variable Solution Size for Simultaneous Instance Selection and Generation | Lam Le (University of Nottingham), Ferrante Neri (University of Surrey), Dario Landa-Silva (The University of Nottingham), Isaac Triguero (The University of Nottingham, University of Granada) | |
| Optimizing Sample Diversity with Fairness Constraints on Imbalanced, Sparse, Hiring Data | Lauren McCarey (Williams College; DHI Group, Inc.), Thomas McTavish (DHI Group, Inc.) | |
| Dynamic Perturbation for Population Diversity Management in Differential Evolution | Le Van Cuong (Hanoi University of Science and Technology), Nguyen Ngoc Bao (Hanoi University of Science and Technology), Nguyen Khanh Phuong (Hanoi University of Science and Technology), Huynh Thi Thanh Binh (Hanoi University of Science and Technology) | |
| The pole balancing problem from the viewpoint of system flexibility | Léo Françoso Dal Piccol Sotto (Fraunhofer SCAI), Sebastian Mayer (Fraunhofer SCAI), Jochen Garcke (Institut für Numerische Simulation - Universität Bonn, Fraunhofer SCAI) | |
| Interpretable pipelines with evolutionarily optimized modules for reinforcement learning tasks with visual inputs | Leonardo Custode (University of Trento), Giovanni Iacca (University of Trento) | |
| MFENAS: Multifactorial Evolution for Neural Architecture Search | Li Chen (Tsinghua University), Hua Xu (Tsinghua University) | |
| Going Faster and Hence Further with Lexicase Selection | Li Ding (University of Massachusetts Amherst), Ryan Boldi (University of Massachusetts Amherst), Thomas Helmuth (Hamilton College), Lee Spector (Amherst College, University of Massachusetts Amherst) | |
| Exact and Sequential Penalty Weights in Quadratic Unconstrained Binary Optimisation with a Digital Annealer | Marcos Diez García (University of Exeter), Mayowa Ayodele (Fujitsu Research of Europe Ltd.), Alberto Moraglio (University of Exeter) | |
| Fairness in Generative Modeling: do it Unsupervised! | Mariia Zameshina (LIGM, Univ Gustave Eiffel, CNRS, ESIEE Paris, F-77454 Marne-la-Vallee; Facebook Artificial Intelligence Research), Fabien Teytaud (Université du Littoral Côte d'Opale, LISIC), Vlad Hosu (University of Konstanz), Nathanael Carraz (Univ. d'Antananarivo), Laurent Najman (LIGM, Univ Gustave Eiffel, CNRS, ESIEE Paris, F-77454 Marne-la-Vallee), Olivier Teytaud (Facebook Artificial Intelligence Research), Markus Wagner (The University of Adelaide) | |
| Benchmarking Algorithm Portfolio Construction Methods | Mario Muñoz Acosta (The University of Melbourne), Hamed Soleimani (The University of Melbourne), Sevvandi Kandanaarachchi (RMIT University) | |
| Growth-Based Morphological Development: A Natural Approach to Fitness Landscape Shaping | Martin Naya-Varela (University of A Coruña), Andrés Faina (IT University of Copenhagen), Richard Duro (University of A Coruña) | |
| Using Graph Neural Networks as Surrogate Models in Genetic Programming | Martin Pilát (Charles University, Faculty of Mathematics and Physics), Gabriela Suchopárová (The Czech Academy of Sciences, Institute of Computer Science; Charles University, Faculty of Mathematics and Physics) | |
| Neuroevolution of Recurrent Architectures on Control Tasks | Maximilien Le Clei (Montreal University Geriatric Institute), Pierre Bellec (Montreal University Geriatric Institute) | |
| Genetic Programming with Diverse Partner Selection for Dynamic Flexible Job Shop Scheduling | Meng Xu (Victoria University of Wellington), Yi Mei (Victoria University of Wellington), Fangfang Zhang (Victoria University of Wellington), Mengjie Zhang (Victoria University of Wellington) | |
| Separating Rule Discovery and Global Solution Composition in a Learning Classifier System | Michael Heider (Universität Augsburg), Helena Stegherr (Universität Augsburg), Jonathan Wurth (Universität Augsburg), Roman Sraj (Universität Augsburg), Jörg Hähner (Universität Augsburg) | |
| Genetic Programming with External Memory in Sequence Recall Tasks | Mihyar Al Masalma (Dalhousie University), Malcolm Heywood (Dalhousie University) | |
| ECOM | Cooperative Co-Evolutionary Memetic Algorithm for Pickup and Delivery Problem with Time Windows | Miroslaw Blocho (Future Processing), Tomasz Jastrzab (Silesian University of Technology), Jakub Nalepa (Silesian University of Technology) |
| ECOM | On the Fitness Landscapes of Interdependency Models in the Travelling Thief Problem | Mohamed El Yafrani (Aalborg University), Marcella Martins (Federal University of Technology – Paraná), Myriam Delgado (Federal University of Technology – Paraná), Ricardo Lüders (Federal University of Technology – Paraná), Peter Nielsen (Aalborg University), Markus Wagner (The University of Adelaide) |
| Multi-Objective Evolutionary Beer Optimisation | Mohammad Majid al-Rifaie (University of Greenwich), Marc Cavazza (National Institute of Informatics) | |
| Binary and Multinomial Classification through Evolutionary Symbolic Regression | Moshe Sipper (Ben-Gurion University) | |
| Using Evolutionary Game Theory to Understand Scalability in Task Allocation | Mostafa Rizk (Monash University), Julian Garcia (Monash University), Aldeida Aleti (Monash University), David Green (Monash University) | |
| EML | DEvS: Data Distillation Algorithm Based on Evolution Strategy | Nadiya Shvai (National University of Kyiv-Mohyla Academy, cyclope.ai), Arcadi Llanza Carmona (University Paris Est, Laboratoire LISSI; cyclope.ai), Abul Hasnat (cyclope.ai), Amir Nakib (University Paris Est, Laboratoire LISSI) |
| Active Learning Improves Performance on Regression Tasks inStackGP | Nathaniel Haut (Michigan State University), Wolfgang Banzhaf (Michigan State University), Bill Punch (Michigan State University) | |
| AutoMoDe-Pomodoro: An Evolutionary Class of Modular Designs | Nicolas Cambier (Vrije Universiteit Amsterdam), Eliseo Ferrante (Vrije Universiteit Amsterdam, Technology Innovation Institute) | |
| Espresso to the rescue of Genetic Programming facing exponential complexity | Nicolas Potvin (Université Libre de Bruxelles), Hugues Bersini (Université Libre de Bruxelles), Dragomir Milojevic (Université Libre de Bruxelles) | |
| Imbalanced Classification with TPG Genetic Programming: Impact of Problem Imbalance and Selection Mechanisms | Nicolas Sourbier (Univ Rennes, INSA Rennes, IETR, UMR CNRS 6164), Justine Bonnot (Inria), Olivier Gesny (Silicom), Frédéric Majorczyk (DGA-MI CIDRE), Karol Desnos (INSA Rennes), Thomas Guyet (INRIA centre Lyon), Maxime Pelcat (Univ Rennes, INSA Rennes, IETR, UMR CNRS 6164) | |
| Novelty Driven Evolutionary Neural Architecture Search | Nilotpal Sinha (National Yang Ming Chiao Tung University), Kuan-Wen Chen (National Yang Ming Chiao Tung University) | |
| Policy Network for Solving Flexible Job Shop Scheduling Problem With SetupTimes and Rescoure Constraints | Ning Xu (East China Normal University), Tian-Ming Bu (East China Normal University) | |
| Towards Multi-Objective Optimization of Sustainable Insect Production Chains | Nisrine Mouhrim (INRAE), Sergiy Smetana (German Institute of Food Technologies Quakenbrück), Anita Bhaita (German Institute of Food Technologies Quakenbrück), Alexander Mathys (ETH Zurich), Ashley Green (ETH Zurich), Daniela Peguero (ETH Zurich), Alberto Tonda (INRAE) | |
| An Evolutionary Approach to the Discretization of Gene Expression Profiles to Predict the Severity of COVID-19 | Nisrine Mouhrim (UMR 518 MIA, INRAE), Alberto Tonda (UMR 518 MIA, INRAE, Paris; Université Paris-Saclay), Itzel Rodríguez-Guerra (Laboratorio de bioquímica y genética microbiana del instituto de ciencias de la universidad autónoma de Puebla (ICUAP)), Aletta Kraneveld (Division of Pharmacology, University of Utrecht), Alejandro Lopez Rincon (Division of Pharmacology, University of Utrecht) | |
| EMO | BOBEA : A Bi-Objective Biclustering Evolutionary Algorithm for Genome-Wide Association Analysis | Ons Maatouk (Université de Tunis), Emna Ayari (LARODEC, University of Tunis), Hend Bouziri (LARODEC - ESSECT, University of Tunis), Wassim Ayadi (LaTICE, University of Tunis; FSEGT, University of Tunis El Manar) |
| Theory | Counterexample to the Best-case Running time of Efficient Non-Dominated Sorting Algorithm | Paras Nigam (Indian Institute of Information Technology Guwahati), Sumit Mishra (Indian Institute of Information Technology Guwahati) |
| Improved data clustering using multi-trial vector-based differential evolution with Gaussian crossover | Parham Hadikhani (Universiti Brunei Darussalam), Daphne Lai (Universiti Brunei Darussalam), Wee-Hong Ong (Universiti Brunei Darussalam), Mohammad H.Nadimi-Shahraki (Najafabad Branch, Islamic Azad University) | |
| Implementing and Evaluating Parallel Evolutionary Algorithms in Modern GPU Computing Libraries | Patrik Valkovič (Charles University, Faculty of Mathematics and Physics), Martin Pilát (Charles University, Faculty of Mathematics and Physics) | |
| A Comparative Study of GP-based and State-of-the-art Classifiers on a Synthetic Machine Learning Benchmark | Patryk Orzechowski (University of Pennsylvania, AGH University of Science and Technology), Paweł Renc (Sano Science, AGH University of Science and Technology), William La Cava (Boston Children's Hospital), Jason Moore (Cedars-Sinai Medical Center), Arkadiusz Sitek (Sano Science), Jarosław Wąs (AGH University of Science and Technology), Joost Wagenaar (University of Pennsylvania) | |
| Large Scale Image Classification Using GPU-based Genetic Programming | Peng Zeng (Sichuan University), Andrew Lensen (Victoria University of Wellington), Yanan Sun (Sichuan University) | |
| Black-Box Adversarial Attack via Overlapped Shapes | Phoenix Williams (University of Exeter), Ke Li (University of Exeter), Geyong Min (University of Exeter) | |
| ENUM | Distributed Evolution Strategies for Large Scale Optimization | Qiqi Duan (Harbin Institute of Technology, Southern University of Science and Technology), Guochen Zhou (Southern University of Science and Technology), Chang Shao (University of Technology Sydney), Yijun Yang (University of Technology Sydney), Yuhui Shi (Southern University of Science and Technology) |
| Discovery of Implicit Relationships from Data Using Linear Programming and Mixed Integer Linear Programming | Quang Huynh (The University of New South Wales), Hemant Singh (University of New South Wales), Tapabrata Ray (The University of New South Wales) | |
| Cost-sensitive Classification Tree Induction as a Bi-level Optimization Problem | Rihab Said (SMART Lab, ISG, University of Tunis), Maha Elarbi (SMART Lab, ISG, University of Tunis), Slim Bechikh (SMART Lab, ISG, University of Tunis), Carlos A. Coello Coello (CINVESTAV-IPN), Lamjed Ben Said (SMART Lab, ISG, University of Tunis) | |
| RWA | Evolving Spaceships with a Hybrid L-system Constrained Optimisation Evolutionary Algorithm | Roberto Gallotta (Araya Inc.), Kai Arulkumaran (Araya Inc.), Lisa Soros (Cross Labs) |
| Phenotypic Duplication and Inversion in Cartesian Genetic Programming applied to Boolean Function Learning | Roman Kalkreuth (TU Dortmund) | |
| The Diversity-Accuracy Duality in Ensembles of Classifiers | Rui Cardoso (Imperial College), Emma Hart (Edinburgh Napier University), David Kurka (Imperial College), Jeremy Pitt (Imperial College) | |
| GP | Benchmarking Genetic Programming in a Multi-action Reinforcement Learning Locomotion Task | Ryan Amaral (Dalhousie University), Alexandru Ianta (Dalhousie University), Caleidgh Bayer (Dalhousie University), Robert Smith (Dalhousie University), Malcolm Heywood (Dalhousie University) |
| Reduction of Genetic Drift in Population-Based Incremental Learning via Entropy Regularization | Ryoki Hamano (Yokohama National University), Shinichi Shirakawa (Yokohama National University) | |
| Chaotic Genetic Bee Colony: Combining Chaos Theory and Genetic Bee Algorithm for Feature Selection in Microarray Cancer Classification | Sammuel Silva (CloudWalk, Inc.), Jadson Gertrudes (Universidade Federal de Ouro Preto) | |
| Rethinking of Controller Placement Problem from Static Optimization to Multi-objective Dynamic Optimization | Sanjai Pathak (Amity University, Uttar Pradesh, Noida), Ashish Mani (Amity University, Uttar Pradesh, Noida), Mayank Sharma (Amity University, Uttar Pradesh, Noida), Amlan Chatterjee (California State University, Dominguez Hills, Carson) | |
| Evolving Polydisperse Soft Robotic Jamming Grippers | Seth Fitzgerald (CSIRO, QUT), Gary Delaney (CSIRO), David Howard (CSIRO), Frederic Maire (QUT) | |
| GECH | A Surrogate Model-based Genetic Algorithm for the Optimal Policy in Cart-pole Balancing Environments | Seung-Soo Shin (Kwangwoon Univ.), Yong-Hyuk Kim (Kwangwoon Univ.) |
| A Hybrid Self-Adapting Multi-Swarm Algorithm Based on PSO and CMA-ES for Continuous Dynamic Optimization | Shakhnaz Akhmedova (Reshetnev Siberian State University of Science and Technology), Vladimir Stanovov (Reshetnev Siberian State University of Science and Technology), Aleksei Vakhnin (Reshetnev Siberian State University of Science and Technology) | |
| Adversarial Example Generation via Genetic Algorithm: A Preliminary Result | Shasha Zhou (University of Electronic Science and Technology of China), Ke Li (University of Exeter), Geyong Min (University of Exeter) | |
| SBSE | Combining GIN and PMD for Code Improvements | Sherlock Licorish (University of Otago), Markus Wagner (The University of Adelaide) |
| A Surrogate-Assisted Multi-objective Evolutionary Algorithm for Shelter Locating and Evacuation Planning | Shi-Cheng Zha (South China University of Technology), Wei-Neng Chen (South China University of Technology), Wen-Jin Qiu (South China University of Technology), Xiao-Min Hu (Guangdong University of Technology) | |
| Evolutionary operation settings for outcome accumulation type evolutionary rule discovery method | Shogo Matsuno (Gunma University), Kaoru Shimada (Gunma University) | |
| Neural Architecture Search Using Genetic Algorithm for Facial Expression Recognition | Shuchao Deng (Sichuan University, College of Computer Science), Yanan Sun (Sichuan University, College of Computer Science), Galvan Edgar (Hamilton Institute, Dept. of CS; Maynooth University, Naturally Inspired Computation Res. Group) | |
| A Single Neural Cellular Automaton for Body-Brain Co-evolution | Sidney Pontes-Filho (Oslo Metropolitan University, Norwegian University of Science and Technology), Kathryn Walker (IT University of Copenhagen), Elias Najarro (IT University of Copenhagen), Stefano Nichele (Oslo Metropolitan University, Simula Metropolitan Centre for Digital Engineering), Sebastian Risi (IT University of Copenhagen) | |
| The Effect of Epigenetic Blocking on Dynamic Multi-Objective Optimisation Problems | Sizhe Yuen (University of Southampton), Thomas Ezard (University of Southampton), Adam Sobey (University of Southampton, Alan Turing Institute) | |
| A Bi-level Evolutionary Approach for the Multi-label Detection of Smelly Classes | Sofien Boutaib (SMART Lab, University of Tunis), Maha Elarbi (SMART Lab, University of Tunis), Slim Bechikh (SMART Lab, University of Tunis), Fabio Palomba (Software Engineering (SeSa) Lab, University of Salerno), Lamjed Ben Said (SMART Lab, University of Tunis) | |
| Application of Nature Inspired Algorithms to Multi-objective Optimization of New Generation Network Problem | Stanislaw Kozdrowski (Warsaw University of Technology), Kacper Wnuk (Warsaw University of Technology) | |
| ACO-SI | Particle Swarm Optimization with Average-Fitness Based Selection | Stephen Chen (York University), Shanshan Lao (York University), Irene Moser (Swinburne University of Technology) |
| EMO | Multi-Objective Counterfactual Fairness | Susanne Dandl (LMU Munich, Department of Statistics, Munich), Florian Pfisterer (LMU Munich, Department of Statistics, Munich), Bernd Bischl (LMU Munich, Department of Statistics, Munich) |
| MOPINNs: An Evolutionary Multi-Objective Approach to Physics-Informed Neural Networks | Taco de Wolff (Inria Chile Research Center), Hugo Carrillo (Inria Chile Research Center), Luis Martí (Inria Chile Research Center), Nayat Sánchez-Pi (Inria Chile Research Center) | |
| CS | Minimize Surprise MAP-Elites: A Task-Independent MAP-Elites Variant for Swarms | Tanja Katharina Kaiser (University of Lübeck), Heiko Hamann (University of Lübeck) |
| Automatically Evolving Malice Scoring Models through Utilisation of Genetic Programming: A Cooperative Coevolution Approach | Taran Cyriac John (Victoria University of Wellington), Muhammad Shabbir Abbasi (Victoria University of Wellington, University of Agriculture Faisalabad), Harith Al-Sahaf (Victoria University of Wellington), Ian Welch (Victoria University of Wellington) | |
| A New Grammatical Evolution Method for Generating Deep Convolutional Neural Networks with Novel Topologies | Thiago Miranda (Universidade Federal de São Carlos), Diorge Sardinha (Universidade Federal de São Carlos), Marcio Basgalupp (Universidade Federal de São Paulo), Ricardo Cerri (Universidade Federal de São Carlos) | |
| Exploiting Landscape Features for Fitness Prediction in University Timetabling | Thomas Feutrier (Université de Lille), Nadarajen Veerapen (Université de Lille), Marie-Éléonore Kessaci (Université de Lille) | |
| Wind Farm Layout Optimisation using Set Based Multi-objective Bayesian Optimisation | Tinkle Chugh (University of Exeter), Endi Ymeraj (University of Exeter) | |
| EMO | Estimating the Quality of Initial Populations in Multi-Objective Evolutionary Algorithms | Tobias Benecke (Otto-von-Guericke University), Sanaz Mostaghim (Otto-von-Guericke University) |
| A Safety Checking Algorithm with Multi-swarm Particle Swarm Optimization | Tsutomu Kumazawa (Software Research Associates, Inc.), Munehiro Takimoto (Tokyo University of Science), Yasushi Kambayashi (Nippon Institute of Technology) | |
| Selecting Continuous Life-Like Cellular Automata for Halting Unpredictability: Evolving for Abiogenesis | Tyrell Davis (University of Vermont), Josh Bongard (University of Vermont) | |
| Multilevel Memetic Hypergraph Partitioning with Greedy Recombination | Utku Acikalin (TOBB University of Economics and Technology), Bugra Caskurlu (TOBB University of Economics and Technology) | |
| Efficient Guided Evolution for Neural Architecture Search | Vasco Lopes (NOVA Lincs, Universidade da Beira Interior; DeepNeuronic), Miguel Santos (NOVA Lincs, Universidade da Beira Interior), Bruno Degardin (Universidade da Beira Interior, DeepNeuronic), Luís A. Alexandre (NOVA Lincs, Universidade da Beira Interior) | |
| Evolving Convolutional Neural Networks for Intrusion Detection System Using Hybrid Multi-Strategy Aquila Optimizer | Wei Sun (Nanjing University of Science and Technology), Qianmu Li (Nanjing University of Science and Technology), Pengchuan Wang (Nanjing University of Science and Technology), Jun Hou (School of Social Science, Nanjing Vocational University of Industry Technology) | |
| EMO | A Constraint Cone Decomposition Evolutionary Algorithm with Dual Populations | Weiqin Ying (South China University of Technology), Yanqi Lan (South China University of Technology), Yu Wu (Guangzhou University), Xuanda Pan (South China University of Technology), Banban Huang (South China University of Technology), Jianyi Peng (South China University of Technology) |
| Failed Disruption Propagation in Integer Genetic Programming | William langdon (ucl) | |
| EML | Cascades of Evolutionary Support Vector Machines | Wojciech Dudzik (Silesian University of Technology), Jakub Nalepa (Silesian University of Technology), Michal Kawulok (Silesian University of Technology) |
| Multi-workflow Scheduling in Industrial Edge: A Genetic Algorithm with Heuristic Strategy | Xiang-Ling Chen (South China University of Technology), Zhi-Xuan Zhang (South China University of Technology), Ming-Can Geng (South China University of Technology), Wei-Neng Chen (South China University of Technology) | |
| Evolving Parsimonious Circuits through Shapley Value-based Genetic Programming | Xinming Shi (University of Birmingham, Southern University of Science and Technology), Jiashi Gao (Southern University of Science and Technology), Leandro Minku (University of Birmingham), Xin Yao (Southern University of Science and Technology) | |
| A Chaotic Parallel Antlion Optimization Algorithm for Feature Selection | Xun Zhou (Hubei University of Technology, School of Computer Science), Hongwei Chen (Hubei University of Technology, School of Computer Science), Deiwei Shi (Hubei University of Technology, School of Computer Science) | |
| Evolutionary Constrained Multi-task Optimization: Benchmark Problems and Preliminary Results | Yanchi Li (China University of Geosciences), Wenyin Gong (China University of Geosciences), Shuijia Li (China University of Geosciences) | |
| Dropout Topology-Assisted Bidirectional Learning Particle Swarm Optimization for Neural Architecture Search | Ye-Qun Wang (South China University of Technology), Chun-Hua Chen (South China University of Technology), Jun Zhang (Hanyang University), Zhi-Hui Zhan (South China University of Technology) | |
| Incorporating Sub-programs as Knowledge in Program Synthesis by PushGP and Adaptive Replacement Mutation | Yifan He (University of Tsukuba), Claus Aranha (University of Tsukuba), Tetsuya Sakurai (University of Tsukuba) | |
| Using Domain Knowledge in Coevolution and Reinforcement Learning to Simulate a Logistics Enterprise | Ying Zhao (Naval Postgraduate School), Erik Hemberg (Massachusetts Institute of Technology, CSAIL), Nate Derbinsky (Northeastern University), Gabino Mata (United States Marine Corps), Una-May O'Reilly (Massachusetts Institute of Technology, CSAIL) | |
| A Layered Learning Estimation of Distribution Algorithm | Yong Li (Nanjing University of Information Science and Technology), Qiang Yang (Nanjing University of Information Science and Technology), Xu-Dong Gao (Nanjing University of Information Science and Technology), Zhen-Yu Lu (Nanjing University of Information Science and Technology), Jun Zhang (Hanyang University) | |
| Heuristic Strategies for Solving the Combinatorial Optimization Problem in Credit Risk Assessment: A Real-World Case Study | Yongfeng Gu (Ant Group), Hao Ding (Ant Group), Kecai Gu (Ant Group), Runsheng Gan (Ant Group), Xiaoguang Huang (Ant Group), Yanming Fang (Ant Group), Zhigang Hua (Ant Group), Hua Wu (Ant Group), Jifeng Xuan (Wuhan University), Jun Zhou (Ant Group) | |
| An Optimization Strategy for the Complex Large-Scale Stockpile Blending Problem | Yue Xie (The University of Adelaide), Aneta Neumann (The University of Adelaide), Frank Neumann (The University of Adelaide) | |
| An Analysis on Effectiveness of Estimated Convergence Points for Enhancement of Multi-objective Optimization Algorithms | Yuhei Yamaya (University of Aizu), Yan Pei (The University of Aizu) | |
| CS | Comparison of Evolutionary Multi-Objective Optimization Algorithms Using Imitation Game | Yuji Sato (Hosei University) |
| EML | EvoJAX: Hardware-Accelerated Neuroevolution | Yujin Tang (Google), Yingtao Tian (Google), David Ha (Google) |
| Genetic Heterogeneity Analysis Using Genetic Algorithm and Network Science | Zhendong Sha (Queen's University), Yuanzhu Chen (Queen's University), Ting Hu (Queen's University) | |
| KDE-GAN: Enhancing Evolutionary GAN With Knowledge Distillation and Transfer Learning | Zheping Liu (RMIT University), Andy Song (RMIT University), Nasser Sabar (La Trobe Univeristy) | |
| A Distributed Particle Swarm Optimization Algorithm for Distributed Clustering | Zi-Xing Li (South China University of Technology), Xiao-Qi Guo (South China University of Technology), Wei-Neng Chen (South China University of Technology) | |
| ONE-NAS: An Online NeuroEvolution based Neural Architecture Search for Time Series Forecasting | Zimeng Lyu (Rochester Institute of Technology), Travis Desell (Rochester Institute of Technology) |