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Embracing Plagiarism: Theoretical , Biological and Empirical Justification for Copy Operators in Genetic Optimisation

journal contribution
posted on 2023-06-07, 22:54 authored by S McGregor, Inman HarveyInman Harvey
A novel genetic operator, the plagiarism operator, is introduced for evolutionary design and optimisation. This operator is analogous in some respects to crossover and to biological transposition. Plagiarism is shown to be theoretically superior to uniform mutation for generalised counting-ones problems, and also to outperform uniform mutation on certain classes of random fitness landscapes. Experimental results are presented showing that plagiarism speeds up the artificial evolution of certain digital logic circuits. The performance of this operator is interpreted in terms of the non-uniform distribution of genetic primitives in good solutions for certain problems.

History

Publication status

  • Published

Journal

Genetic Programming and Evolvable Machines

ISSN

1389-2576

Issue

4

Volume

6

Page range

407-420

Department affiliated with

  • Informatics Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2012-02-06

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