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ORCIDGECCO 2024: Melbourne, VIC, Australia
- Xiaodong Li, Julia Handl:
Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2024, Melbourne, VIC, Australia, July 14-18, 2024. ACM 2024, ISBN 979-8-4007-0495-6
Competition Summary / Entry: Competition Abstract Multi-Agent Logistics
- Daan Apeldoorn
, Alexander Dockhorn, Torsten Panholzer:
AbstractSwarm Multi-Agent Logistics Competition: Multi-Agent Collaboration for Improving A Priori Unknown Logistics Scenarios. 1-2
Competition Summary / Entry: Competition Benchmarking Niching Methods for Multimodal Optimization
- Xiang Shu, Yiyi Zhu, Renji Zhang, Xiang Xia, Bingdong Li, Hong Qian:
Automated Design Competition Technical Report: Cascaded Structure and Parameter Optimization Based on Prior Knowledge. 3-4 - Ali Ahrari, Jonathan E. Fieldsend, Mike Preuss, Xiaodong Li, Michael Epitropakis:
Experimental Setup for GECCO 2024 Competition on Benchmarking Niching Methods for Multimodal Optimization. 5-6
Competition Summary / Entry: Competition Dynamic Stacking Optimization in Uncertain Environments
- Johannes Karder, Sebastian Leitner, Bernhard Werth, Stefan Wagner:
DynStack Competition - Dynamic Stacking Optimization in Uncertain Environments. 7-8
Competition Summary / Entry: Competition Evolutionary Computation in the Energy Domain: PV System Allocation
- Rui Qi, Ya-Hui Jia:
Key Strategies for Optimal PV System Allocation. 9-10
Competition Summary / Entry: Competit Interpretable Control Competition
- Giorgia Nadizar, Luigi Rovito, Dennis G. Wilson, Eric Medvet:
Interpretable Control Competition. 11-12
Competition Summary / Entry: Competitionmpetition Machine Learning for Evolutionary Computation - Solving the Vehicle Routing Problems (ML4VRP)
- Weiyao Meng, Rong Qu, Nelishia Pillay:
Machine Learning for Evolutionary Computation - the Vehicle Routing Problems Competition. 13-14 - Muhammad Irtiza, Rudri Kalaria, A. S. M. Kayes:
A Reinforcement Learning-assisted Evolutionary Computing Approach to Capacitated Vehicle Routing with Time Windows. 15-16 - Ha Minh Hieu, Hung Phan, Duc Chinh Tran, Duc Cuong Van, Dao Van Tung, Huynh Thi Thanh Binh:
Alimentation Deep Multiple Optimal Ant Colony Optimization to solve Vehicle Routing Problem with Time Windows. 17-18
Competition Summary / Entry: Competition Numerical Global Optimization Competition on GNBG-Generated Test Suite
- Adam Viktorin, Michal Pluhacek, Tomas Kadavy, Jozef Kovác, Peter Janku, Roman Senkerik:
DISH Solving the GNBG-generated Test Suite. 19-20
Competition Summary / Entry: Competition SpOC: Space Optimisation Compeition
- Max Bannach, Emmanuel Blazquez, Dario Izzo, Giacomo Acciarini, Alexander Hadjiivanov, Gernot Heißel, Rita Mastroianni, Sebastien Origer, Jai Grover, Dominik Dold, Zacharia Rudge:
The Space Optimization Competition: Third Edition. 21-22
Hot Off the Press
- Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi, Julia Handl:
A Review of Randomness Techniques in Deep Neural Networks. 23-24 - Martin Briesch, Ryan Boldi, Dominik Sobania, Alexander Lalejini, Thomas Helmuth, Franz Rothlauf, Charles Ofria, Lee Spector:
Improving Lexicase Selection with Informed Down-Sampling. 25-26 - Sacha Cerf, Benjamin Doerr, Benjamin Hebras, Yakob Kahane, Simon Wietheger:
Hot off the Press: The First Proven Performance Guarantees for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) on a Combinatorial Optimization Problem. 27-28 - Yao-Hsin Chou, Cheng-Yen Hua, Shu-Yu Kuo, Yu-Chi Jiang, Sy-Yen Kuo:
Evo-Panel: Dynamic Visualization Tool for Optimization Process. 29-30 - Roy de Winter, Bas Milatz, Julian Blank, Niki van Stein, Thomas Bäck, Kalyanmoy Deb:
Hot off the Press: Parallel Multi-Objective Optimization for Expensive and Inexpensive Objectives and Constraints. 31-32 - Matthieu Dinot, Benjamin Doerr, Ulysse Hennebelle, Sebastian Will:
Hot off the Press: Runtime Analyses of Multi-Objective Evolutionary Algorithms in the Presence of Noise. 33-34 - Benjamin Doerr, Aymen Echarghaoui, Mohammed Jamal, Martin S. Krejca:
Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations. 35-36 - Kei Sen Fong, Mehul Motani:
Enhancing Prediction, Explainability, Inference and Robustness of Decision Trees via Symbolic Regression-Discovered Splits. 37-38 - Stefan Klikovits, Cédric Ho Thanh, Ahmet Cetinkaya, Paolo Arcaini:
Trust Your Neighbours: Handling Noise in Multi-Objective Optimisation Using kNN-Averaging (GECCO'24 Hot off the Press). 39-40 - Yuri Cossich Lavinas, Marcelo Ladeira, Gabriela Ochoa, Claus Aranha:
Multiobjective Evolutionary Component Effect on Algorithm Behavior. 41-42 - Paul-Antoine Le Tolguenec, Emmanuel Rachelson, Yann Besse, Dennis Wilson:
Summary of "Curiosity creates Diversity in Policy Search". 43-44 - Davide Li Calsi, Matias Duran, Xiao-Yi Zhang, Paolo Arcaini, Fuyuki Ishikawa:
Distributed Repair of Deep Neural Networks (Hot off the Press at GECCO 2024). 45-46 - Tomás Mauder, Jakub Kudela, Lubomír Klimes, Martin Zálesák, Pavel Charvát:
Hot Off the Press: Soft computing methods in the solution of an inverse heat transfer problem with phase change. 47-48 - Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto:
Linear Convergence Rate Analysis of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth Functions. 49-50 - Andre Opris, Duc-Cuong Dang, Dirk Sudholt:
Hot of the Press: Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation. 51-52 - Joseph Renzullo, Westley Weimer, Stephanie Forrest:
Combining Online Learning with Mutation-Based Stochastic Search to Repair Buggy Programs. 53-54 - Valentino Santucci, Josu Ceberio:
Model-based Gradient Search using the Plackett-Luce model. 55-56 - Linas Stripinis, Jakub Kudela, Remigijus Paulavicius:
Hot Off the Press: Benchmarking Derivative-Free Global Optimization Algorithms under Limited Dimensions and Large Evaluation Budgets. 57-58 - Shion Takeno, Masahiro Nomura, Masayuki Karasuyama:
Hot off the Press: Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes. 59-60 - Ziming Wang, Changwu Huang, Xin Yao:
Feature Attribution Explanation Based on Multi-Objective Evolutionary Learning. 61-62 - Simon Wietheger, Benjamin Doerr:
A Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm III (NSGA-III). 63-64 - Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
A Semantic-based Hoist Mutation Operator for Evolutionary Feature Construction in Regression [Hot off the Press]. 65-66 - Weijie Zheng, Benjamin Doerr:
Hot off the Press: Runtime Analysis for the NSGA-II: Proving, Quantifying, and Explaining the Inefficiency For Many Objectives. 67-68 - Weijie Zheng, Benjamin Doerr:
Hot off the Press: Runtime Analysis of the SMS-EMOA for Many-Objective Optimization. 69-70 - Weijie Zheng, Mingfeng Li, Renzhong Deng, Benjamin Doerr:
How to Use the Metropolis Algorithm for Multi-Objective Optimization? 71-72
Late-Breaking Abstract
- Jeremiah Abimbola, Daniel Kostrzewa, Pawel Kasprowski:
Genetic Algorithm-Based Optimization ofWeighted Voting in Ensemble Models for Time Signature Detection. 73-74 - Mayowa Ayodele:
Utilising Quantum Hybrid Solver for Bi-objective Quadratic Assignment Problems. 75-76 - Kehinde O. Babaagba, Ritwik Murali, Sarah Thomson:
Exploring the use of fitness landscape analysis for understanding malware evolution. 77-78 - Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Dariusz Mrozek:
Enhancing Anomaly Detection in Automated Guided Vehicles through Feature Weight Optimization. 79-80 - Guillaume Briffoteaux, Andrew Ciezak, Pablo Moscato:
Towards Target Derivatives-Enhanced Continued Fraction Regression. 81-82 - Jinyu Cai, Jinglue Xu, Jialong Li, Takuto Yamauchi, Hitoshi Iba, Kenji Tei:
Exploring the Improvement of Evolutionary Computation via Large Language Models. 83-84 - Min Chen, Yanyan Zhang:
A decision space variable topology feature visualization and clustering method for Dynamic Multi-objective Optimization. 85-86 - Carlos Cotta, Jesús Martínez-Cruz:
Energy Consumption Analysis of Batch Runs of Evolutionary Algorithms. 87-88 - Carlos Cotta:
Navigating the Aisles: Evolutionary Algorithms for Supermarket Evacuation Planning. 89-90 - Korben Diarchangel, Liam Francisco, Jude Koenig, Sushil J. Louis:
Evolving Potential Fields for Rules of the Road Compliant Ship Driving. 91-92 - Anton Eremeev, Valentin Topchii:
Generalization of the Heavy-Tailed Mutation in the (1+(λ, λ)) Genetic Algorithm. 93-94 - Seung-Yeol Hong, Yong-Hyuk Kim:
A Memetic Algorithm for Deployment of Search and Rescue Units. 95-96 - Ruben Horn, Sarah L. Thomson, Daan van den Berg, Pieter Adriaans:
The Easiest Hard Problem: Now Even Easier. 97-98 - Weiyan Jia, Lixin Tang, Yang Yang, Yun Dong:
Bi-objective approach for lot-sizing problem in cold rolling production planning. 99-100 - Matthew Andres Moreno, Connor Yang, Emily L. Dolson, Luis Zaman:
Trackable Island-model Genetic Algorithms at Wafer Scale. 101-102 - Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles:
Bayesian Optimization with Setup Switching Cost. 103-104 - Bogdan Ruszczak:
Coupling Temporal Convolutional Networks with Anomaly Detection and CMA-ES for the Electricity Price Forecasting. 105-106 - Ning Sun, Shuwei Zhu:
Modeling and Optimization of Energy Consumption in Data-driven Factory Air Conditioning System. 107-108 - Zhuoran Sun, Ying Ying Liu, Parimala Thulasiraman, Ruppa K. Thulasiram:
Parallel Co-Evolutionary Algorithm and Implementation on CPU-GPU Multicore. 109-110 - Nan Sun, Shuwei Zhu:
Surrogate Modeling in Efficient Evolutionary Multiobjective Clustering Algorithm. 111-112 - Vivek Yelleti, Vadlamani Ravi, P. Radha Krishna:
Online Feature Subset Selection in Streaming Features by Parallel Evolutionary Algorithms. 113-114 - Seo-Ah Yu, Yong-Hyuk Kim:
Enhancing Graph Cut Search through a Surrogate-Assisted Genetic Algorithm with Edge-Based Encoding. 115-116 - Weiwei Zhang, Meiling Xu, Lixin Tang:
Joint Entropy Enhanced Multi-objective Bayesian Optimization for Graph Pruning. 117-118
Poster Session: Benchmarking, Benchmarks Software and Reproducibility
- Marcus Gallagher, Mario A. Muñoz:
Towards an Improved Understanding of Features for More Interpretable Landscape Analysis. 135-138 - Sara Hajari, Marcus Gallagher:
Searching for Benchmark Problem Instances from Data-Driven Optimisation. 139-142 - Ana Nikolikj, Tome Eftimov:
Comparing Solvability Patterns of Algorithms across Diverse Problem Landscapes. 143-146 - Anthony Rasulo, Kate Smith-Miles, Mario A. Muñoz, Julia Handl, Manuel López-Ibáñez:
Extending Instance Space Analysis to Algorithm Configuration Spaces. 147-150 - Quentin Renau, Johann Dréo, Emma Hart:
Ealain: A Camera Simulation Tool to Generate Instances for Multiple Classes of Optimisation Problem. 151-154 - Jeroen Rook, Holger H. Hoos, Heike Trautmann:
Multi-objective Ranking using Bootstrap Resampling. 155-158 - Elizaveta Yu. Shmalko, Askhat I. Diveev:
Benchmark Problems for Machine Learning in Control Synthesis. 2123-2126 - Tianxing Yang, Huigen Ye, Hua Xu:
Learning to Generate Scalable MILP Instances. 159-162 - Yifan Zhao, Zhenyu Liang, Zhichao Lu, Ran Cheng:
A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic Segmentation. 163-166
Poster Session: Complex Systems
- Ryan Boldi, Matthew C. Fontaine, Sumeet Batra, Gaurav S. Sukhatme, Stefanos Nikolaidis:
Generating Diverse Critics for Conditioned Policy Distillation. 167-170 - Ryan Boldi, Li Ding, Lee Spector:
Solving Deceptive Problems Without Explicit Diversity Maintenance. 171-174 - Eleni Nisioti, Erwan Plantec, Milton Montero, Joachim Winther Pedersen, Sebastian Risi:
Growing Artificial Neural Networks for Control: the Role of Neuronal Diversity. 175-178 - Vassilis Papadopoulos, Guilhem Doat, Arthur Renard, Clément Hongler:
Looking for Complexity at Phase Boundaries in Continuous Cellular Automata. 179-182
Poster Session: Evolutionary Combinatorial Optimization and Metaheuristics
- Abdennour Azerine, Mahmoud Golabi, Ammar Oulamara, Lhassane Idoumghar:
Enhancing Electric Vehicle Charging Schedules: A Surrogate-Assisted Approach. 183-186 - Qinan Chen, Qiqi Xia, Kaixuan Sun, Jin Wang, Bo Yuan:
Memetic Algorithm for Multi-objective Virtual Network Slice Configuration. 187-190 - Francesca Da Ros, Luca Di Gaspero, Marie-Louise Lackner, Nysret Musliu, Felix Winter:
Local Search Algorithms for the Oven Scheduling Problem. 191-194 - Olivier Goudet, Adrien Goëffon, Frédéric Saubion, Sébastien Vérel:
Emergence of Strategies for Univariate Estimation-of-Distribution Algorithms with Evolved Neural Networks. 195-198 - Tianyang Li, Ying Meng, Lixin Tang:
Symmetry Parallel Search Strategy For Permutation-related Optimization Problems. 199-202 - Tri Phan, Khang Tran, Ngoc Hoang Luong:
Combining Adaptive Large Neighborhood Search with Guided Ejection Search for Real-World Multiple-Vehicle Pickup and Delivery Problem with Time Windows. 203-206 - Sara Salim, Ismail M. Ali, Sondoss Elsawah:
A Secure Simulation-optimisation Framework for Fleet Mix Problem: A Defence-based Real-world Application. 207-210 - Xavier F. C. Sánchez-Díaz, Ole Jakob Mengshoel:
Estimating the Number of Local Optima in Multimodal Pseudo-Boolean Functions: Validation via Landscapes of Triangles. 211-214 - Rodrigo Fernando Velázquez Cruz, Carlos Ignacio Hernández Castellanos:
"A Cooperative Multi Indicator-Based Ant Colony Optimization Algorithm for the MOGenConVRP". 215-218 - Xian-Ping Wang, Xin-Xin Xu, Yi Jiang, Sheng Bi, Yan-Chun Liang, Zhi-Hui Zhan:
Distributed Ensemble Hyper-Heuristic Algorithm for Aircraft Arrival Sequencing and Scheduling Problem. 219-222 - Deming Wu, Qiang Yang, Changjun Zhou, Zhonglong Zheng, Jun Zhang:
Adapted Ant Colony Optimization for Large-Scale Orienteering Problem. 223-226 - Vivek Yelleti, Vadlamani Ravi, P. Radha Krishna:
Novelty Detection and Feedback based Online Feature Subset Selection for Data Streams via Parallel Hybrid Particle Swarm Optimization Algorithm. 227-230 - Han Zhang, Qing Li, Xin Yao:
PEACH: A Multi-Objective Evolutionary Algorithm for Complex Vehicle Routing with Three-Dimensional Loading Constraints. 231-234 - Rui Zhao, Tianyu Liang, Zhize Wu, Daan van den Berg, Matthias Thürer, Thomas Weise:
Randomized Local Search on the 2D Rectangular Bin Packing Problem with Item Rotation. 235-238
Poster Session: Evolutionary Machine Learning
- Mohammad Reza Pour-Hosseini, Mahdi Abbasi, Bahman Javadi, Seifeddine Benelghali, Hassan Haghighi, Ehsan Mohammadi Pasand, Parham Moradi:
Efficient Edge Computing: Harnessing Compact Machine Learning Models for Workload Optimization. 239-242 - Fuma Aki, Riku Ikeda, Takumi Saito, Ciaran Regan, Mizuki Oka:
LLM-POET: Evolving Complex Environments using Large Language Models. 243-246 - Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei:
Intepretable Local Explanations Through Genetic Programming. 247-250 - Francisco Baeta, João Correia, Tiago Martins, Penousal Machado:
Exploring Evolutionary Generators within Generative Adversarial Networks. 251-254 - Epifanios Baikas, Danesh Tarapore, David Thomas:
Evolutionary Data Subset Selection for Class-Incremental Learning on Memory-Constrained Systems. 255-258 - Andrea Calabrese, Stefano Quer, Giovanni Squillero, Alberto Tonda:
Towards an Evolutionary Approach for Exploting Core Knowledge in Artificial Intelligence. 259-262 - Yehang Chen, Yu Zhang, Xinyue Li, Wang Hu:
Multi-Criterion Feature Selection Based on Clustering Symbolic Regression. 263-266 - Joshua Cook, Kagan Tumer:
Multidimensional Archive Of The State Space. 267-270 - Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Evolutionary Sparse Coding and Graph Regularisation for Embedded Multi-label Feature Selection. 271-274 - Arno Feiden, Biagio Paparella, Jochen Garcke:
Generalizing Diversity with the Signature Transform. 275-278 - Jose Guadalupe Hernandez, Anil Kumar Saini, Jason H. Moore:
Lexidate: Model Evaluation and Selection with Lexicase. 279-282 - David Herrera-Sánchez, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes, Aldo Márquez-Grajales:
Shifting Color Space for Image Classification using Genetic Programming. 283-286 - Luke Kelly, Martin Masek, Chiou Peng Lam:
Behaviour Discovery in Real-Time Strategy Games using Cooperative Co-evolution with Dynamic Binary Tree Decomposition. 287-290 - Luke Kelly, Martin Masek, Chiou Peng Lam, Brandon Abela, Ashu Gupta:
Evolving Visual Counterfactual Medical Imagery Explanations with Cooperative Co-evolution using Dynamic Decomposition. 291-294 - Jingeun Kim, Yourim Yoon:
Efficient Pruning of DenseNet via a Surrogate-Model-Assisted Genetic Algorithm. 295-298 - Suraj Kumar Pandey, Shivashankar B. Nair:
Onboard Class Incremental Learning for Resource-Constrained scenarios using Genetic Algorithm and TinyML. 299-302 - David Pätzel, Richard Nordsieck, Jörg Hähner:
Length-niching Selection and Spatial Crossover in Variable-length Evolutionary Rule Set Learning. 303-306 - Gayathri Rangu, Shivashankar B. Nair:
Immuno-inspired Selective Aggregation for Decentralized Federated Deep Reinforcement Learning. 307-310 - Nabangshu Sinha, Carlo Lucheroni:
Time-varying Echo State Networks: Harnessing Dynamic Parameters for Robust Time-Series Analysis. 311-314 - Fumito Uwano, Will Neil Browne:
Cognitive Learning System for Sequential Aliasing Patterns of States in Multistep Decision-Making. 315-318 - Matthew Vandergrift, Ting Hu:
ATOMIC: an Interpretable Clustering Method Based on Data Topology. 319-322 - Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama:
Generating High-Dimensional Prototypes with a Classifier System by Evolving in Latent Space. 2127-2130 - Bai-Jiang Yu, Feng-Feng Wei, Tai-You Chen, Wei-Neng Chen:
An Improved Evolutionary Reinforcement Learning Algorithm for UAV Online Target Tracking. 323-326 - Yuheng Zhou, Haopu Shang, Yu-Chang Wu, Chao Qian:
Instance-Label Based Multi-Label Active Learning by Evolutionary Multi-Objective Optimization. 327-330
Poster Session: Evolutionary Multiobjective Optimization
- Siamak Ghodsi, Sahar Tahmasebi, Mahdi Jalili, Parham Moradi:
Many-Objective Evolutionary Optimization using Density Peaks Scoring Selection Strategy. 331-334 - Juan Carlos Gómez-López, Daniel Castillo-Secilla, Jesús González:
Improving the Performance of EA-based Multi-population Models for Feature Selection Problems by Reducing the Individual Size in the Initial Population. 335-338