The Hot off the Press track offers authors of recent papers the opportunity to present their work to the GECCO community, both by giving a talk on one of the three main days of the conference and by having a 2-page abstract appear in the proceedings companion, in which also the workshop papers, late-breaking abstracts, and tutorials appear. For more information see the Call for HOPs.
Title | Authors |
---|---|
A comparison of Rule Compaction Algorithms for Michigan Style Learning Classifier Systems | Yi Liu (Victoria University of Wellington), Will Browne (Queensland University of Technology), Bing Xue (Victoria University of Wellington) |
A First Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) (Hot-off-the-Press Track at GECCO 2022) | Weijie Zheng (Southern University of Science and Technology, University of Science and Technology of China), Yufei Liu (Ecole Polytechnique, Laboratoire d'Informatique (LIX)), Benjamin Doerr (Ecole Polytechnique, Laboratoire d'Informatique (LIX)) |
A Verified Application of Genetic Programming: QoS Time Series Modeling and Forecasting for Web Services | Yang Syu (Department of Information Science, National Taipei University of Education; Institute of Information Science, Academia Sinica), Chien-Min Wang (Institute of Information Science, Academia Sinica), Yong-Yi Fanjiang (Department of Computer Science and Information Engineering, Fu Jen Catholic University) |
Archivers for Single- and Multi-objective Evolutionary Optimization Algorithms | Oliver Schuetze (CINVE), Carlos Hernández Castellanos (IIMAS-UNAM) |
Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance | Furong Ye (Leiden University), Carola Doerr (LIP6, Sorbonne Université; CNRS), Hao Wang (Leiden University), Thomas Bäck (Leiden University) |
Choosing the Right Algorithm With Hints From Complexity Theory (Hot-off-the-Press Track at GECCO 2022) | Shouda Wang (Ecole Polytechnique), Weijie Zheng (Southern University of Science and Technology), Benjamin Doerr (Ecole Polytechnique, Laboratoire d'Informatique (LIX)) |
Efficient Configuration of Optimization Algorithms | Marcelo de Souza (Universidade do Estado de Santa Catarina, Universidade Federal do Rio Grande do Sul), Marcus Ritt (Universidade Federal do Rio Grande do Sul), Manuel López-Ibáñez (Universidad de Málaga, University of Manchester) |
Emergent Tangled Program Graphs in Partially Observable Recursive Forecasting and ViZDoom Navigation Tasks | Stephen Kelly (Michigan State University), Robert Smith (Dalhousie University), Malcolm Heywood (Dalhousie University), Wolfgang Banzhaf (Michigan State University) |
Empirical linkage learning for non-binary discrete search spaces in the optimization of a large-scale real-world problem | Michal Przewozniczek (Wroclaw University of Science and Technology), Marcin Komarnicki (Wroclaw University of Science and Technology) |
Evolutionary Generation of Metamorphic Relations for Cyber-Physical Systems | Jon Ayerdi (Mondragon University), Valerio Terragni (University of Auckland), Aitor Arrieta (Mondragon University), Paolo Tonella (Università della Svizzera italiana (USI)), Goiuria Sagardui (Mondragon University), Maite Arratibel (Orona) |
Generating Failing Test Suites for Quantum Programs with Search (Hot Off the Press track at GECCO 2022) | Xinyi Wang (Simula Research Laboratory), Paolo Arcaini (National Institute of Informatics), Tao Yue (Nanjing University of Aeronautics and Astronautics, Simula Research Laboratory), Shaukat Ali (Simula Research Laboratory) |
Genetic Programming Convergence | William Langdon (UCL) |
Highlights of Semantics in Multi-objective Genetic Programming | Edgar Galván (Maynooth University), Leonardo Trujillo (Tecnológico Nacional de México), Fergal Stapleton (Maynooth University) |
IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics | Hao Wang (Leiden University), Diederick Vermetten (Leiden University), Furong Ye (Leiden University), Carola Doerr (LIP6, Sorbonne Université; CNRS), Thomas Bäck (Leiden University) |
Long-Term Evolution Experiment with Genetic Programming [Hot of the Press] | William Langdon (ucl), Wolfgang Banzhaf (MSU) |
Measuring the ability of lexicase selection to find obscure pathways to optimality | Jose Hernandez (Michigan State University), Alexander Lalejini (University of Michigan), Charles Ofria (Michigan State University) |
Modular Grammatical Evolution for the Generation of Artificial Neural Networks (Hot-off-the-Press Track at GECCO 2022) | Khabat Soltanian (University of Zanjan), Ali Ebnenasir (Michigan Tech University), Mohsen Afsharchi (University of Zanjan) |
Precise Runtime Analysis for Plateau Functions | Denis Antipov (ITMO University), Benjamin Doerr (Ecole Polytechnique, Laboratoire d'Informatique (LIX)) |
Program Synthesis with Evolutionary Algorithms: Status Quo | Dominik Sobania (Johannes Gutenberg University), Dirk Schweim (Baden Wuerttemberg Cooperative State University), Franz Rothlauf (Johannes Gutenberg University) |
Tag-based Module Regulation for Genetic Programming | Alexander Lalejini (University of Michigan), Matthew Moreno (Michigan State University), Charles Ofria (Michigan State University) |
Targeting Requirements Violations of Autonomous Driving Systems by Dynamic Evolutionary Search (HOP at GECCO'22) | Yixing Luo (Peking University), Xiao-Yi Zhang (National Institute of Informatics), Paolo Arcaini (National Institute of Informatics), Zhi Jin (Peking University), Haiyan Zhao (Peking University), Fuyuki Ishikawa (National Institute of Informatics), Rongxin Wu (Xiamen University), Tao Xie (Peking University) |
What Can Phylogenetic Metrics Tell us About Useful Diversity in Evolutionary Algorithms? | Jose Hernandez (Michigan State University), Alexander Lalejini (University of Michigan), Emily Dolson (Michigan State University) |