GECCO

Publications

2024

Jonathan Gadea Harder, Timo Kötzing, Xiaoyue Li, Aishwarya Radhakrishnan, Janosch Ruff
Run Time Bounds for Integer-Valued OneMax Functions. GECCO (2024)
Shuaiqun Pan, Diederick Vermetten, Manuel López-Ibáñez, Thomas Bäck, Hao Wang
Transfer Learning of Surrogate Models via Domain Affine Transformation. GECCO (2024)
Thalea Schlender, Mafalda Malafaia, Tanja Alderliesten, Peter A. N. Bosman
Improving the efficiency of GP-GOMEA for higher-arity operators. GECCO (2024)
Aseel Ismael Ali, Edward C. Keedwell, Ayah Helal
A Differential Pheromone Grouping Ant Colony Optimization Algorithm for the 1-D Bin Packing Problem. GECCO (2024)
Timothée Anne, Jean-Baptiste Mouret
Parametric-Task MAP-Elites. GECCO (2024)
Victor Hugo Vidigal Corrêa, Thiago Alves de Queiroz, Manuel Iori, André Gustavo dos Santos, Mutsunori Yagiura, Giorgio Zucchi
Optimizing a Car Patrolling Application by Iterated Local Search. GECCO (2024)
Francisco Zanartu, Christoph Treude, Markus Wagner
Socialz: Multi-Feature Social Fuzz Testing. GECCO (2024)
Matthias Kergaßner, Oliver Keszöcze, Rolf Wanka
Markov Chain-based Optimization Time Analysis of Bivalent Ant Colony Optimization for Sorting and LeadingOnes. GECCO (2024)
Alican Mertan, Nick Cheney
Towards Multi-Morphology Controllers with Diversity and Knowledge Distillation. GECCO (2024)
Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang
Gradient-Guided Local Search for IGD/IGDPlus Subset Selection. GECCO (2024)
Zhenyu Liang, Tao Jiang, Kebin Sun, Ran Cheng
GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA. GECCO (2024)
David H. Lee, Anishalakshmi V. Palaparthi, Matthew C. Fontaine, Bryon Tjanaka, Stefanos Nikolaidis
Density Descent for Diversity Optimization. GECCO (2024)
Ryoji Tanabe
Benchmarking Parameter Control Methods in Differential Evolution for Mixed-Integer Black-Box Optimization. GECCO (2024)
Daiki Morinaga, Youhei Akimoto
Sign-Averaging Covariance Matrix Adaptation Evolution Strategy. GECCO (2024)
Duc-Cuong Dang, Per Kristian Lehre
The SLO Hierarchy of pseudo-Boolean Functions and Runtime of Evolutionary Algorithms. GECCO (2024)
Roman Kalkreuth, Thomas Bäck
CGP++ : A Modern C++ Implementation of Cartesian Genetic Programming. GECCO (2024)
Thomas Helmuth, Jayden Fedoroff, Edward R. Pantridge, Lee Spector
Facilitating Function Application in Code Building Genetic Programming. GECCO (2024)
Etienne Russeil, Fabrício Olivetti de França, Konstantin L. Malanchev, Bogdan Burlacu, Emille E. O. Ishida, Marion Leroux, Clément Michelin, Guillaume Moinard, Emmanuel Gangler
Multiview Symbolic Regression. GECCO (2024)
Leonardo Lucio Custode, Ivanoe De Falco, Antonio Della Cioppa, Giovanni Iacca, Umberto Scafuri
NEvoFed: A Decentralized Approach to Federated NeuroEvolution of Heterogeneous Neural Networks. GECCO (2024)
Jordan T. Bishop, Jason Jooste, David Howard
Evolutionary Exploration of Triply Periodic Minimal Surfaces via Quality Diversity. GECCO (2024)
Kyo Kuroki, Satoru Jimbo, Thiem Van Chu, Masato Motomura, Kazushi Kawamura
Classical Thermodynamics-based Parallel Annealing Algorithm for High-speed and Robust Combinatorial Optimization. GECCO (2024)
Giorgia Nadizar, Eric Medvet, Dennis Wilson
Searching for a Diversity of Interpretable Graph Control Policies. GECCO (2024)
Eduardo Bouhid Neto, Fábio Augusto Faria, Amanda de Almeida Sales De Oliveira, Álvaro Luiz Fazenda
A Satellite Band Selection Framework for Amazon Forest Deforestation Detection Task. GECCO (2024)
Joachim Winther Pedersen, Erwan Plantec, Eleni Nisioti, Milton Montero, Sebastian Risi
Structurally Flexible Neural Networks: Evolving the Building Blocks for General Agents. GECCO (2024)
Mario Alejandro Hevia Fajardo, Erik Hemberg, Jamal Toutouh, Una-May O'Reilly, Per Kristian Lehre
A Self-adaptive Coevolutionary Algorithm. GECCO (2024)
Joshua Cook, Kagan Tumer
Learning Aligned Local Evaluations For Better Credit Assignment In Cooperative Coevolution. GECCO (2024)
Christian Cintrano, Jamal Toutouh, Sergio Nesmachnow
Optimizing Electric Vehicle Charging Station Placement Integrating Daily Mobility Patterns and Residential Locations. GECCO (2024)
Benjamin Doerr, Joshua Knowles, Aneta Neumann, Frank Neumann
A Block-Coordinate Descent EMO Algorithm: Theoretical and Empirical Analysis. GECCO (2024)
Kameron Bielawski, Nate Gaylinn, Cameron Lunn, Kevin Motia, Joshua Bongard
Evolving Hierarchical Neural Cellular Automata. GECCO (2024)
Camilo Chacón Sartori, Christian Blum, Gabriela Ochoa
Large Language Models for the Automated Analysis of Optimization Algorithms. GECCO (2024)
Wen-Chi Yang
Integrating Diverse Evolutionary Patterns of Collective Animal Behaviours into a Unified Selfish Herd Model. GECCO (2024)
Diego Daniel Pedroza-Perez, Jamal Toutouh, Gabriel Luque
Redesigning road infrastructure to integrate e-scooter micromobility as part of multimodal transportation. GECCO (2024)
Tanja Katharina Kaiser
Learning from Evolution: Improving Collective Decision-Making Mechanisms using Insights from Evolutionary Robotics. GECCO (2024)
Diederick Vermetten, Carola Doerr, Hao Wang, Anna V. Kononova, Thomas Bäck
Large-Scale Benchmarking of Metaphor-Based Optimization Heuristics. GECCO (2024)
Michael Auer, Dominik Diner, Gordon Fraser
Search-based Crash Reproduction for Android Apps. GECCO (2024)
Brandon Morgan, Dean Hougen
Evolving Loss Functions for Specific Image Augmentation Techniques. GECCO (2024)
Gaurav Dixit, Kagan Tumer
Informed Diversity Search for Learning in Asymmetric Multiagent Systems. GECCO (2024)
Erdi Sayar, Giovanni Iacca, Alois Knoll
Multi-Objective Evolutionary Hindsight Experience Replay for Robot Manipulation Tasks. GECCO (2024)
Sharlotte Gounder, Frank Neumann, Aneta Neumann
Evolutionary Diversity Optimisation for Sparse Directed Communication Networks. GECCO (2024)
Manon Flageat, Bryan Lim, Antoine Cully
Enhancing MAP-Elites with Multiple Parallel Evolution Strategies. GECCO (2024)
Furong Ye, Frank Neumann, Jacob de Nobel, Aneta Neumann, Thomas Bäck
What Performance Indicators to Use for Self-Adaptation in Multi-Objective Evolutionary Algorithms. GECCO (2024)
Georgios Andreadis, Tanja Alderliesten, Peter A. N. Bosman
Fitness-based Linkage Learning and Maximum-Clique Conditional Linkage Modelling for Gray-box Optimization with RV-GOMEA. GECCO (2024)
Martin S. Krejca, Carsten Witt
A Flexible Evolutionary Algorithm with Dynamic Mutation Rate Archive. GECCO (2024)
Ishara Hewa Pathiranage, Frank Neumann, Denis Antipov, Aneta Neumann
Using 3-Objective Evolutionary Algorithms for the Dynamic Chance Constrained Knapsack Problem. GECCO (2024)
Gloria Pietropolli, Stefano Nichele, Eric Medvet
The Role of the Substrate in CA-based Evolutionary Algorithms. GECCO (2024)
Su Nguyen, Dhananjay R. Thiruvady, Yuan Sun, Mengjie Zhang
Genetic-based Constraint Programming for Resource Constrained Job Scheduling. GECCO (2024)
Tongyu Wu, Yuntian Zhang, Changhao Miao, Chen Chen, Shuxin Ding
Mixed-Variable Correlation-Aware Metaheuristic for Deployment Optimization of 3-D Sensor Networks. GECCO (2024)
Tran Hai Thanh, Long Doan, Ngoc Hoang Luong, Huynh Thi Thanh Binh
THNAS-GA: A Genetic Algorithm for Training-free Hardware-aware Neural Architecture Search. GECCO (2024)
Xiankun Yan, Aneta Neumann, Frank Neumann
Sampling-based Pareto Optimization for Chance-constrained Monotone Submodular Problems. GECCO (2024)
Darren M. Chitty, James Charles, Alberto Moraglio, Ed Keedwell
Applying a Quantum Annealer to the Traffic Assignment Problem. GECCO (2024)