THE DESIGN OF EVOLUTIONARY ALGORITHMS: A COMPUTER SCIENCE PERSPECTIVE ON THE COMPATIBILITY OF EVOLUTION AND DESIGN

The effectiveness of evolutionary algorithms is one of the issues discussed in The Compatibility of Evolution and Design, where it is argued that such algorithms are only effective when stringent preconditions are met. This article considers this issue from the perspective of computer science. It ex...

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Published in:Zygon Vol. 57; no. 4; pp. 1051 - 1068
Main Author: Jeavons, Peter
Format: Journal Article
Language:English
Published: Cambridge Open Library of Humanities 01.12.2022
Subjects:
Computer science
Cosmology
evolution
fine‐tuning
fitness function
fitness landscape
Genetic algorithms
teleology
Variables
teleology
fitness landscape
evolution
fine‐tuning
fitness function
ISSN:0591-2385, 1467-9744, 1467-9744
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Abstract The effectiveness of evolutionary algorithms is one of the issues discussed in The Compatibility of Evolution and Design, where it is argued that such algorithms are only effective when stringent preconditions are met. This article considers this issue from the perspective of computer science. It explores the properties of problems that can be effectively solved by evolutionary algorithms, and the extent to which such algorithms need to be carefully adjusted. Although there are important differences between the study of evolutionary algorithms in computer science and the study of biological evolution, it is argued that the experience of computer science can help to strengthen the claim that evolutionary mechanisms generally require a considerable degree of fine‐tuning.
AbstractList The effectiveness of evolutionary algorithms is one of the issues discussed in The Compatibility of Evolution and Design, where it is argued that such algorithms are only effective when stringent preconditions are met. This article considers this issue from the perspective of computer science. It explores the properties of problems that can be effectively solved by evolutionary algorithms, and the extent to which such algorithms need to be carefully adjusted. Although there are important differences between the study of evolutionary algorithms in computer science and the study of biological evolution, it is argued that the experience of computer science can help to strengthen the claim that evolutionary mechanisms generally require a considerable degree of fine‐tuning.
Author Jeavons, Peter
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Issue 4
IssueTitle December 2022
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fitness landscape
evolution
fine‐tuning
fitness function
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SubjectTerms Computer science
Cosmology
evolution
fine‐tuning
fitness function
fitness landscape
Genetic algorithms
teleology
Variables
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