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Evolutionary Computation, Volume 32
Volume 32, Number 1, Spring 2024
- Manuel López-Ibáñez, Luís Paquete, Mike Preuss:
Editorial for the Special Issue on Reproducibility. 1-2 - Anna V. Kononova, Diederick Vermetten, Fabio Caraffini, Madalina-Andreea Mitran, Daniela Zaharie:
The Importance of Being Constrained: Dealing with Infeasible Solutions in Differential Evolution and Beyond. 3-48 - Caitlin A. Owen, Grant Dick, Peter A. Whigham:
Using Decomposed Error for Reproducing Implicit Understanding of Algorithms. 49-68 - Raúl Martín-Santamaría, Sergio Cavero, Alberto Herrán, Abraham Duarte, J. Manuel Colmenar:
A Practical Methodology for Reproducible Experimentation: An Application to the Double-Row Facility Layout Problem. 69-104
Volume 32, Number 2, Summer 2024
- Fuda van Diggelen, Eliseo Ferrante, A. E. Eiben:
Comparing Robot Controller Optimization Methods on Evolvable Morphologies. 105-124 - Jônata Tyska Carvalho, Stefano Nolfi:
The Role of Morphological Variation in Evolutionary Robotics: Maximizing Performance and Robustness. 125-142 - Jakob Bossek, Christian Grimme:
On Single-Objective Sub-Graph-Based Mutation for Solving the Bi-Objective Minimum Spanning Tree Problem. 143-175 - Nilotpal Sinha, Kuan-Wen Chen:
Neural Architecture Search Using Covariance Matrix Adaptation Evolution Strategy. 177-204
Volume 32, Number 3, Fall 2024
- Jacob de Nobel, Furong Ye, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck:
IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics. 205-210 - Raphael Patrick Prager, Heike Trautmann:
Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python. 211-216 - Ruwang Jiao, Bing Xue, Mengjie Zhang:
A Tri-Objective Method for Bi-Objective Feature Selection in Classification. 217-248 - R. Paul Wiegand:
Preliminary Analysis of Simple Novelty Search. 249-273 - Giuseppe Paolo, Miranda Coninx, Alban Laflaquière, Stéphane Doncieux:
Discovering and Exploiting Sparse Rewards in a Learned Behavior Space. 275-305
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