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ORCIDACM Transactions on Evolutionary Learning and Optimization, Volume 3
Volume 3, Number 1, March 2023
- Manon Flageat
, Félix Chalumeau, Antoine Cully:
Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains. 1:1-1:32 - James R. Bradley, A. Paul Blossom:
The Generation of Visually Credible Adversarial Examples with Genetic Algorithms. 2:1-2:44 - Federico Pigozzi, Eric Medvet, Alberto Bartoli, Marco Rochelli:
Factors Impacting Diversity and Effectiveness of Evolved Modular Robots. 3:1-3:33
Volume 3, Number 2, June 2023
- Jonathan E. Fieldsend, Markus Wagner:
Editorial to the "Best of GECCO 2022" Special Issue: Part I. 4:1-4:2 - Tobias Friedrich, Timo Kötzing, Aishwarya Radhakrishnan, Leon Schiller, Martin Schirneck, Georg Tennigkeit, Simon Wietheger:
Crossover for Cardinality Constrained Optimization. 5:1-5:32 - Maxime Allard, Simón C. Smith, Konstantinos I. Chatzilygeroudis, Bryan Lim, Antoine Cully:
Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity. 6:1-6:23 - Fabrício Olivetti de França:
Transformation-Interaction-Rational Representation for Symbolic Regression: A Detailed Analysis of SRBench Results. 7:1-7:19 - Atsuhiro Miyagi, Yoshiki Miyauchi, Atsuo Maki, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto:
Covariance Matrix Adaptation Evolutionary Strategy with Worst-Case Ranking Approximation for Min-Max Optimization and Its Application to Berthing Control Tasks. 8:1-8:32
Volume 3, Number 3, September 2023
- Adam Gaier, Giuseppe Paolo, Antoine Cully:
Editorial to the "Evolutionary Reinforcement Learning" Special Issue. 9:1-9:2 - Olivier Sigaud:
Combining Evolution and Deep Reinforcement Learning for Policy Search: A Survey. 10:1-10:20 - Ashutosh Timilsina, Simone Silvestri:
P2P Energy Trading through Prospect Theory, Differential Evolution, and Reinforcement Learning. 11:1-11:22 - Paul-Antoine Le Tolguenec, Emmanuel Rachelson, Yann Besse, Dennis G. Wilson:
Curiosity Creates Diversity in Policy Search. 12:1-12:20
Volume 3, Number 4, December 2023
- Joseph Renzullo, Westley Weimer, Stephanie Forrest:
Evolving Software: Combining Online Learning with Mutation-Based Stochastic Search. 13:1-13:32 - Delaram Yazdani, Danial Yazdani, Donya Yazdani, Mohammad Nabi Omidvar, Amir H. Gandomi, Xin Yao:
A Species-based Particle Swarm Optimization with Adaptive Population Size and Deactivation of Species for Dynamic Optimization Problems. 14:1-14:25 - Josu Ceberio, Valentino Santucci:
Model-based Gradient Search for Permutation Problems. 15:1-15:35 - Florian Karl, Tobias Pielok, Julia Moosbauer, Florian Pfisterer, Stefan Coors, Martin Binder, Lennart Schneider, Janek Thomas, Jakob Richter, Michel Lang, Eduardo C. Garrido-Merchán, Jürgen Branke, Bernd Bischl:
Multi-Objective Hyperparameter Optimization in Machine Learning - An Overview. 16:1-16:50
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