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Embracing Plagiarism: Theoretical , Biological and Empirical Justification for Copy Operators in Genetic Optimisation
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 MachinesISSN
1389-2576External DOI
Issue
4Volume
6Page range
407-420Department affiliated with
- Informatics Publications
Full text available
- No
Peer reviewed?
- Yes