GECCO Companion

Keyphrases

Publications

2023

Miguel León Ortiz, Tijana Markovic, Sasikumar Punnekkat
Multi-Objective Optimization on Autoencoder for Feature Encoding and Attack Detection on Network Data. GECCO Companion (2023)
Markus Wagner, Erik Kohlros, Gerome Quantmeyer, Timo Kötzing
ELEA - Build your own Evolutionary Algorithm in your Browser. GECCO Companion (2023)
Ryan Boldi, Lee Spector
Can the Problem-Solving Benefits of Quality Diversity Be Obtained without Explicit Diversity Maintenance? GECCO Companion (2023)
Marco Tomassini
A Simple and Efficient Heuristic for Reducing Vulnerability of Complex Networks to Malicious Link Attacks. GECCO Companion (2023)
Weiyi Zuo, Joachim Winther Pedersen, Sebastian Risi
Evolution of an Internal Reward Function for Reinforcement Learning. GECCO Companion (2023)
Xiaoyue Li, Timo Kötzing
Experimental Analyses of Crossover and Diversity on Jump. GECCO Companion (2023)
Thomas Feutrier, Nadarajen Veerapen, Marie-Eléonore Kessaci
Improving the Relevance of Artificial Instances for Curriculum-Based Course Timetabling through Feasibility Prediction. GECCO Companion (2023)
Daniel H. Stolfi, Grégoire Danoy
Spacecraft Swarm Orbital Formation Optimisation Using Evolutionary Techniques. GECCO Companion (2023)
Emma Hart, Ian Miguel, Christopher Stone, Quentin Renau
Towards optimisers that 'Keep Learning'. GECCO Companion (2023)
Bas van Stein, Diederick Vermetten, Fabio Caraffini, Anna V. Kononova
Deep BIAS: Detecting Structural Bias using Explainable AI. GECCO Companion (2023)
Lucas Fenaux, Thomas Humphries, Florian Kerschbaum
Gaggle: Genetic Algorithms on the GPU using PyTorch. GECCO Companion (2023)
Po-Wei Harn, Bo Hui, Sai Deepthi Yeddula, Libo Sun, Min-Te Sun, Wei-Shinn Ku
A Novel Quadtree-Based Genetic Programming Search for Searchable Encryption Optimization. GECCO Companion (2023)
Shyam Sudhakaran, Miguel González Duque, Claire Glanois, Matthias Freiberger, Elias Najarro, Sebastian Risi
Prompt-Guided Level Generation. GECCO Companion (2023)
Mohammad Nabi Omidvar, Yuan Sun, Xiaodong Li
Large-Scale Optimization and Learning. GECCO Companion (2023)
Muhammad Junaid Ali, Laurent Moalic, Mokhtar Essaid, Lhassane Idoumghar
Designing Convolutional Neural Networks using Surrogate assisted Genetic Algorithm for Medical Image Classification. GECCO Companion (2023)
Pascal Kerschke, Mike Preuss
Exploratory Landscape Analysis. GECCO Companion (2023)
John Stevenson
The Struggle for Existence: Time, Memory and Bloat. GECCO Companion (2023)
Anton Bouter, Peter A. N. Bosman
A Joint Python/C++ Library for Efficient yet Accessible Black-Box and Gray-Box Optimization with GOMEA. GECCO Companion (2023)
Konrad Krawczyk, Jaroslaw Arabas
JADE with k Nearest Neighbors Surrogate Model. GECCO Companion (2023)
Nicholas Sung, Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Yew-Soon Ong
Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results. GECCO Companion (2023)
Tomas Kadavy, Adam Viktorin, Anezka Kazikova, Michal Pluhacek, Roman Senkerik
Impact of Boundary Control Methods on Bound-constrained Optimization Benchmarking. GECCO Companion (2023)
Ryan Boldi, Ashley Bao, Martin Briesch, Thomas Helmuth, Dominik Sobania, Lee Spector, Alexander Lalejini
The Problem Solving Benefits of Down-sampling Vary by Selection Scheme. GECCO Companion (2023)
Isobel Bosman, Anna Sergeevna Bosman, Katherine Mary Malan
Quantifying and Visualizing the Sharpness of Attraction Basins in Neural Network Error Landscapes. GECCO Companion (2023)
Du Nguyen Duy, Michael Affenzeller, Ramin Nikzad-Langerodi
Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation. GECCO Companion (2023)
Shuaixiang Zhang, Hao Tong, Jialin Liu, Xin Yao
Generate Competitive Solutions for Uncapacitated Facility Location Problem by Learning from Small Instances. GECCO Companion (2023)
Justin Pauckert, Pieter Debevere, Matthieu Parizy, Mayowa Ayodele
Comparing Solution Combination Techniques in Scatter Search for Quadratic Unconstrained Binary Optimization. GECCO Companion (2023)
Romain Orhand, Pierre Collet, Pierre Parrend, Anne Jeannin-Girardon
CRACS: Compaction of Rules in Anticipatory Classifier Systems. GECCO Companion (2023)
Matthew Andres Moreno, Alexander Lalejini, Charles Ofria
Tag Affinity Criteria Influence Adaptive Evolution. GECCO Companion (2023)
Shu-Yu Kuo, Yun-Ting Lai, Yu-Chi Jiang, Ming-Ho Chang, Kun-Min Wu, Po-Chun Chen, Yu-Yu Chang, Yong Feng Tong, Yao-Hsin Chou
Entanglement Local Search-Assisted Quantum-Inspired Optimization for Portfolio Optimization in G20 Markets. GECCO Companion (2023)
Ha Hyun Cho, Han Joon Byun, Min Kee Kim, Joon Huh, Byung-Ro Moon
Evolutionary Pruning of Deep Convolutional Networks by a Memetic GA with Sped-Up Local Optimization and GLCM Energy Z-Score. GECCO Companion (2023)
Anmol Surhonne, Florian Maurer, Thomas Wild, Andreas Herkersdorf
LCT-DER: Learning Classifier Table with Dynamic-Sized Experience Replay for Run-time SoC Performance-Power Optimization. GECCO Companion (2023)
Tristan Marty, Yann Semet, Anne Auger, Sébastien Héron, Nikolaus Hansen
Benchmarking CMA-ES with Basic Integer Handling on a Mixed-Integer Test Problem Suite. GECCO Companion (2023)
Ahmer Khan, Kalyanmoy Deb
Optimizing Keyboard Configuration Using Single and Multi-Objective Evolutionary Algorithms. GECCO Companion (2023)
Kai Eivind Wu, George Panoutsos
High Dimensional Many Objective Optimisation through Diverse Creation and Categorisation of Reference Vectors. GECCO Companion (2023)
José Almeida, Fernando Lezama, João P. Soares, Leonardo H. Macedo, Zita Vale, Rubén Romero
Metaheuristic Optimization for Transmission Network Expansion Planning: Testebed 2 of the Competition on Evolutionary Computation in the Energy Domain. GECCO Companion (2023)
Runxin Han, Junqing Li, Xiumei Xiao
Multi-Objective Artificial Bee Colony for Assembly Flexible Job Shop with Transportation and Setup Times. GECCO Companion (2023)
Jakub Kudela, Martin Juricek
Computational and Exploratory Landscape Analysis of the GKLS Generator. GECCO Companion (2023)
Manon Flageat, Luca Grillotti, Antoine Cully
Benchmark Tasks for Quality-Diversity Applied to Uncertain Domains. GECCO Companion (2023)
Kaifeng Yang, Kai Chen, Michael Affenzeller, Bernhard Werth
A New Acquisition Function for Multi-objective Bayesian Optimization: Correlated Probability of Improvement. GECCO Companion (2023)
Maximilien Le Clei, Pierre Bellec
Generative Adversarial Neuroevolution for Control Behaviour Imitation. GECCO Companion (2023)
Tobias Benecke, Oliver Antons, Sanaz Mostaghim, Julia C. Arlinghaus
A Generalized Circular Supply Chain Problem for Multi-objective Evolutionary Algorithms. GECCO Companion (2023)
Carlos Henggeler Antunes, Maria João Alves
Single and Multi-Objective Bilevel Optimization. GECCO Companion (2023)
Gloria Pietropolli, Federico Julian Camerota Verdù, Luca Manzoni, Mauro Castelli
Parametrizing GP Trees for Better Symbolic Regression Performance through Gradient Descent. GECCO Companion (2023)
James Chao, Ramiro Rodriguez, Sean Crowe
Quantum Enhancements for AlphaZero. GECCO Companion (2023)
Shang Wang, Huanrong Tang, Jianquan Ouyang
A Neural Architecture Search Method using Auxiliary Evaluation Metric based on ResNet Architecture. GECCO Companion (2023)
Jair Pereira Junior, Claus Aranha
Re-Evaluating Algorithm Variations Using Empirical Similarity. GECCO Companion (2023)
Adam Handke, Damian Józwiak, Piotr Kaminski, Michal Wisniewski, Milosz Kadzinski
Metaphor-based algorithms for learning the preference model parameters of FlowSort from large sets of assignment examples. GECCO Companion (2023)
Marko Durasevic, Domagoj Jakobovic, Luca Mariot, Stjepan Picek
Digging Deeper: Operator Analysis for Optimizing Nonlinearity of Boolean Functions. GECCO Companion (2023)
Andrei Kucharavy, Matteo Monti, Rachid Guerraoui, Ljiljana Dolamic
Byzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary Search. GECCO Companion (2023)
Francesca Da Ros, Luca Di Gaspero
Local Search Strategies for Multi-Objective Flowshop Scheduling: Introducing Pareto Late Acceptance Hill Climbing. GECCO Companion (2023)