GECCO

Keyphrases

Publications

2023

Matheus Campos Fernandes, Fabrício Olivetti de França, Emilio Francesquini
HOTGP - Higher-Order Typed Genetic Programming. GECCO (2023)
Lisa Schönenberger, Hans-Georg Beyer
On a Population Sizing Model for Evolution Strategies Optimizing the Highly Multimodal Rastrigin Function. GECCO (2023)
Connor Mattson, Daniel S. Brown
Leveraging Human Feedback to Evolve and Discover Novel Emergent Behaviors in Robot Swarms. GECCO (2023)
Jakob Bossek, Aneta Neumann, Frank Neumann
On the Impact of Basic Mutation Operators and Populations within Evolutionary Algorithms for the Dynamic Weighted Traveling Salesperson Problem. GECCO (2023)
Joe Harrison, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman
Mini-Batching, Gradient-Clipping, First- versus Second-Order: What Works in Gradient-Based Coefficient Optimisation for Symbolic Regression? GECCO (2023)
Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman
The Impact of Asynchrony on Parallel Model-Based EAs. GECCO (2023)
Michal Witold Przewozniczek, Marcin Michal Komarnicki
To slide or not to slide? Moving along fitness levels and preserving the gene subsets diversity in modern evolutionary computation. GECCO (2023)
Fabrício Olivetti de França, Gabriel Kronberger
Reducing Overparameterization of Symbolic Regression Models with Equality Saturation. GECCO (2023)
Jordan MacLachlan, Yi Mei, Fangfang Zhang, Mengjie Zhang, Jessica Signal
Learning Emergency Medical Dispatch Policies Via Genetic Programming. GECCO (2023)
Mario Alejandro Hevia Fajardo, Per Kristian Lehre
How Fitness Aggregation Methods Affect the Performance of Competitive CoEAs on Bilinear Problems. GECCO (2023)
Jakob Bossek, Dirk Sudholt
Runtime Analysis of Quality Diversity Algorithms. GECCO (2023)
Renato Tinós, Michal Przewozniczek, Darrell Whitley, Francisco Chicano
Genetic Algorithm with Linkage Learning. GECCO (2023)
Youwei Sun, Chaoli Sun
Particle Swarm Optimization with Ring Topology for Multi-modal Multi-objective Problems. GECCO (2023)
Quan Minh Phan, Ngoc Hoang Luong
Pareto Local Search is Competitive with Evolutionary Algorithms for Multi-Objective Neural Architecture Search. GECCO (2023)
Carola Doerr, Duri Andrea Janett, Johannes Lengler
Tight Runtime Bounds for Static Unary Unbiased Evolutionary Algorithms on Linear Functions. GECCO (2023)
Alexandra Ivanova, Denis Antipov, Benjamin Doerr
Larger Offspring Populations Help the (1 + (λ, λlambda)) Genetic Algorithm to Overcome the Noise. GECCO (2023)
Patric Feldmeier, Gordon Fraser
Learning by Viewing: Generating Test Inputs for Games by Integrating Human Gameplay Traces in Neuroevolution. GECCO (2023)
Diederick Vermetten, Fabio Caraffini, Anna V. Kononova, Thomas Bäck
Modular Differential Evolution. GECCO (2023)
Vadim Liventsev, Anastasiia Grishina, Aki Härmä, Leon Moonen
Fully Autonomous Programming with Large Language Models. GECCO (2023)
Arnaud Liefooghe, Manuel López-Ibáñez
Many-objective (Combinatorial) Optimization is Easy. GECCO (2023)
Hormoz Shahrzad, Risto P. Miikkulainen
Accelerating Evolution Through Gene Masking and Distributed Search. GECCO (2023)
Davide Li Calsi, Matias Duran, Thomas Laurent, Xiao-Yi Zhang, Paolo Arcaini, Fuyuki Ishikawa
Adaptive Search-based Repair of Deep Neural Networks. GECCO (2023)
André Thomaser, Jacob de Nobel, Diederick Vermetten, Furong Ye, Thomas Bäck, Anna V. Kononova
When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems. GECCO (2023)
Hayden Andersen, Andrew Lensen, Will N. Browne, Yi Mei
Producing Diverse Rashomon Sets of Counterfactual Explanations with Niching Particle Swarm Optimization Algorithms. GECCO (2023)
Marko Durasevic, Francisco Javier Gil Gala, Domagoj Jakobovic
Divide and conquer: Using single objective dispatching rules to improve convergence for multi-objective optimisation. GECCO (2023)
Valentino Santucci, Josu Ceberio
Doubly Stochastic Matrix Models for Estimation of Distribution Algorithms. GECCO (2023)
Teklit Gereziher, Selam Gebrekrstos, Gregory Gay
Search-Based Test Generation Targeting Non-Functional Quality Attributes of Android Apps. GECCO (2023)
Yin Wu, Ruihao Zheng, Zhenkun Wang
Decomposition-Based Multi-Objective Evolutionary Algorithm with Model-Based Ideal Point Estimation. GECCO (2023)
Deepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb
Multi-objective Robust Optimization and Decision-Making Using Evolutionary Algorithms. GECCO (2023)
Luyao Zhu, Fangfang Zhang, Xiaodong Zhu, Ke Chen, Mengjie Zhang
Sample-Aware Surrogate-Assisted Genetic Programming for Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling. GECCO (2023)
Francisco Chicano, Gabriela Ochoa, Bilel Derbel, Lorenzo Canonne
Local Optima Markov Chain: A New Tool for Landscape-aware Analysis of Algorithm Dynamics. GECCO (2023)
Hsu Chen Liao, Wen Zhong Fang, Tian-Li Yu
Adaptive Donor Selection Mixing for Multi-objective Optimization: an Enhanced Variant of MO-GOMEA. GECCO (2023)
Napoleão Nepomuceno, Ricardo Barboza Saboia, André L. V. Coelho
A MILP-Based Very Large-Scale Neighborhood Search for the Heterogeneous Vehicle Routing Problem with Simultaneous Pickup and Delivery. GECCO (2023)
Nicolas Fontbonne, Nicolas Maudet, Nicolas Bredèche
Adaptive Team Cooperative Co-Evolution for a Multi-Rover Distribution Problem. GECCO (2023)
Aneta Neumann, Sharlotte Gounder, Xiankun Yan, Gregory Sherman, Benjamin Campbell, Mingyu Guo, Frank Neumann
Diversity Optimization for the Detection and Concealment of Spatially Defined Communication Networks. GECCO (2023)
Ludovico Scarton, Alexander Hagg
On the Suitability of Representations for Quality Diversity Optimization of Shapes. GECCO (2023)
Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
Relieving Genetic Programming from Coefficient Learning for Symbolic Regression via Correlation and Linear Scaling. GECCO (2023)
Masahiro Nomura, Youhei Akimoto, Isao Ono
CMA-ES with Learning Rate Adaptation: Can CMA-ES with Default Population Size Solve Multimodal and Noisy Problems? GECCO (2023)
Lapo Frati, Neil Traft, Nick Cheney
OmnImage: Evolving 1k Image Cliques for Few-Shot Learning. GECCO (2023)
Diederick Vermetten, Furong Ye, Carola Doerr
Using Affine Combinations of BBOB Problems for Performance Assessment. GECCO (2023)
Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama
Fuzzy-UCS Revisited: Self-Adaptation of Rule Representations in Michigan-Style Learning Fuzzy-Classifier Systems. GECCO (2023)
Yameng Peng, Andy Song, Vic Ciesielski, Haytham M. Fayek, Xiaojun Chang
Fast Evolutionary Neural Architecture Search by Contrastive Predictor with Linear Regions. GECCO (2023)
Lorenzo Canonne, Bilel Derbel, Francisco Chicano, Gabriela Ochoa
To Combine or not to Combine Graybox Crossover and Local Search? GECCO (2023)
Paul Kent, Jürgen Branke
Bayesian Quality Diversity Search with Interactive Illumination. GECCO (2023)
Samuel Baguley, Tobias Friedrich, Aneta Neumann, Frank Neumann, Marcus Pappik, Ziena Zeif
Fixed Parameter Multi-Objective Evolutionary Algorithms for the W-Separator Problem. GECCO (2023)
Johannes Lengler, Andre Opris, Dirk Sudholt
Analysing Equilibrium States for Population Diversity. GECCO (2023)
Per Kristian Lehre, Xiaoyu Qin
Self-adaptation Can Help Evolutionary Algorithms Track Dynamic Optima. GECCO (2023)
Giorgia Nadizar, Eric Medvet, Kathryn Walker, Sebastian Risi
A Fully-distributed Shape-aware Neural Controller for Modular Robots. GECCO (2023)
Joachim Winther Pedersen, Sebastian Risi
Learning to Act through Evolution of Neural Diversity in Random Neural Networks. GECCO (2023)
Matthew Lette, Kamrul Hasan Rahi, Hemant Kumar Singh, Tapabrata Ray
Vertical-Axis Wind Turbine Design Using Surrogate-assisted Optimization with Physical Experiments In-loop. GECCO (2023)