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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
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