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ACM Transactions on Evolutionary Learning and Optimization, Volume 4

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Volume 4, Number 1, March 2024

Special Issue on Explainable AI in Evolutionary Computation

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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
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Ziming Wang, Changwu Huang, Yun Li, Xin Yao:
Multi-objective Feature Attribution Explanation For Explainable Machine Learning. 2:1-2:32
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  - journals/telo/BandaZPWB24
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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
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Giovanni Misitano:
Exploring the Explainable Aspects and Performance of a Learnable Evolutionary Multiobjective Optimization Method. 4:1-4:39
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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

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