New directions in fitness evaluation: commentary on Langdon’s JAWS30

Johnson, Colin G

Abstract

Langdon's paper emphasises the key role of fitness in GP, yet notes issues with current approaches to fitness: "In GP, as in most optimisation problems, most of the computation effort is spent on evaluating how good the proposed solutions are". The paper goes on to discuss a number of ways of tackling this bottleneck through the use of surrogate and learned fitness functions. In this commentary, I would like to suggest other future directions for fitness evaluation.

Citation

Johnson, C. G. (2023). New directions in fitness evaluation: commentary on Langdon’s JAWS30. Genetic Programming and Evolvable Machines, 24(2), Article 22. https://doi.org/10.1007/s10710-023-09470-2

• Journal Article Type: Commentary
• Acceptance Date: Oct 13, 2023
• Online Publication Date: Nov 22, 2023
• Publication Date: 2023
• Deposit Date: Nov 13, 2023
• Publicly Available Date: Nov 27, 2023
• Journal: Genetic Programming and Evolvable Machines
• Print ISSN: 1389-2576
• Electronic ISSN: 1573-7632
• Publisher: Springer Verlag
• Peer Reviewed: Not Peer Reviewed
• Volume: 24
• Issue: 2
• Article Number: 22
• Item Discussed: William Langdon, JAWS30, Genetic Programming and Evolvable Machines
• DOI: https://doi.org/10.1007/s10710-023-09470-2
• Public URL: https://nottingham-repository.worktribe.com/output/27368414
• Publisher URL: https://link.springer.com/article/10.1007/s10710-023-09470-2