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ORCIDACM Transactions on Evolutionary Learning and Optimization, Volume 4
Volume 4, Number 1, March 2024
- Jaume Bacardit
, Alexander E. I. Brownlee, Stefano Cagnoni, Giovanni Iacca, John A. W. McCall, David J. Walker:
Introduction to the Special Issue on Explainable AI in Evolutionary Computation. 1:1-1:2 - Ziming Wang, Changwu Huang, Yun Li, Xin Yao:
Multi-objective Feature Attribution Explanation For Explainable Machine Learning. 2:1-2:32 - Tiwonge Msulira Banda, Alexandru-Ciprian Zavoianu, Andrei Petrovski, Daniel Wöckinger, Gerd Bramerdorfer:
A Multi-Objective Evolutionary Approach to Discover Explainability Tradeoffs when Using Linear Regression to Effectively Model the Dynamic Thermal Behaviour of Electrical Machines. 3:1-3:16 - Giovanni Misitano:
Exploring the Explainable Aspects and Performance of a Learnable Evolutionary Multiobjective Optimization Method. 4:1-4:39 - Giorgia Nadizar, Luigi Rovito, Andrea De Lorenzo, Eric Medvet, Marco Virgolin:
An Analysis of the Ingredients for Learning Interpretable Symbolic Regression Models with Human-in-the-loop and Genetic Programming. 5:1-5:30
Volume 4, Number 2, June 2024
- Jonathan E. Fieldsend, Markus Wagner:
Introduction to the "Best of GECCO 2022" Special Issue: Part II. 6 - Renato Tinós, Michal Witold Przewozniczek, Darrell Whitley, Francisco Chicano:
Iterated Local Search with Linkage Learning. 7 - Yuri Cossich Lavinas, Marcelo Ladeira, Gabriela Ochoa, Claus Aranha:
Multiobjective Evolutionary Component Effect on Algorithm Behaviour. 8 - Fu Xing Long, Bas van Stein, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck:
Generating Cheap Representative Functions for Expensive Automotive Crashworthiness Optimization. 9 - Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa:
Marginal Probability-Based Integer Handling for CMA-ES Tackling Single- and Multi-Objective Mixed-Integer Black-Box Optimization. 10 - Brahim Aboutaib, Andrew M. Sutton:
The Influence of Noise on Multi-parent Crossover for an Island Model Genetic Algorithm. 11 - Adel Nikfarjam, Aneta Neumann, Frank Neumann:
On the Use of Quality Diversity Algorithms for the Travelling Thief Problem. 12
Volume 4, Number 3, September 2024
- Xu Cai, Yu Xue:
A Population Initialization Method Based on Similarity and Mutual Information in Evolutionary Algorithm for Bi-Objective Feature Selection. 13:1-13:21 - Etor Arza, Léni K. Le Goff, Emma Hart:
Generalized Early Stopping in Evolutionary Direct Policy Search. 14:1-14:28 - Andoni I. Garmendia, Josu Ceberio, Alexander Mendiburu:
Applicability of Neural Combinatorial Optimization: A Critical View. 15:1-15:26 - Shengcai Liu, Ning Lu, Wenjing Hong, Chao Qian, Ke Tang:
Effective and Imperceptible Adversarial Textual Attack Via Multi-objectivization. 16:1-16:23 - Maria Laura Santoni, Elena Raponi, Renato De Leone, Carola Doerr:
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB. 17:1-17:33 - Mikel Malagón, Ekhine Irurozki, Josu Ceberio:
A Combinatorial Optimization Framework for Probability-Based Algorithms by Means of Generative Models. 18:1-18:28
Volume 4, Number 4, December 2024
- Yaochu Jin, Xilu Wang, Hemant K. Singh, Tinkle Chugh, Alma Rahat:
Introduction to the Special Issue on Data-Driven Evolutionary Computation. 19:1-19:2 - Yue Xie, Joshua Pinskier, Xing Wang, David Howard:
Evolutionary Seeding of Diverse Structural Design Solutions via Topology Optimization. 20:1-20:23 - Jhe-Yu Liou, Muaaz Awan, Kirtus G. Leyba, Petr Sulc, Steven A. Hofmeyr, Carole-Jean Wu, Stephanie Forrest:
Evolving to Find Optimizations Humans Miss: Using Evolutionary Computation to Improve GPU Code for Bioinformatics Applications. 21:1-21:29 - Chenyang Bu, Yuxin Liu, Manzong Huang, Jianxuan Shao, Shengwei Ji, Wenjian Luo, Xindong Wu:
Layer-Wise Learning Rate Optimization for Task-Dependent Fine-Tuning of Pre-Trained Models: An Evolutionary Approach. 22:1-22:23 - Xunfeng Wu, Qiuzhen Lin, Junwei Zhou, Songbai Liu, Carlos A. Coello Coello, Victor C. M. Leung:
Evolutionary Optimization with a Simplified Helper Task for High-Dimensional Expensive Multiobjective Problems. 23:1-23:32
- Jiao Liu, Abhishek Gupta, Yew-Soon Ong:
Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization. 24:1-24:27 - Dogan Corus, Pietro S. Oliveto:
On the Generalisation Performance of Geometric Semantic Genetic Programming for Boolean Functions: Learning Block Mutations. 25:1-25:33 - Diana Carrera, Roberto Santana, José Antonio Lozano:
Learning the Graph Structure of Regular Vine-Copulas from Dependence Lists. 26:1-26:22 - Elliot Meyerson, Mark J. Nelson, Herbie Bradley, Adam Gaier, Arash Moradi Karkaj, Amy K. Hoover, Joel Lehman:
Language Model Crossover: Variation through Few-Shot Prompting. 27:1-27:40
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