Referenced Items are not available for this document.
The premise behind all evolutionary methods is ldquosurvival of the fittest,rdquo and consequently, individuals require a quantitative fitness measure. This paper proposes a novel strategy for evaluating individual's relative strengths and weaknesses, as well as representing these in the form of a binary string fitness characterization (BSFC); in addition, as customary, an overall fitness value is assigned to each individual. Utilizing the BSFC, we demonstrate both novel population evaluation measures and a pairwise mating strategy, comparative partner selection (CPS), with the aim of evolving a population that promotes effective solutions by reducing population-wide weaknesses. This strategy is tested with six standard genetic programming benchmarking problems.
Published in:
Evolutionary Computation, IEEE Transactions on
(Volume:12
,
Issue:
6
)
Date of Publication: Dec. 2008
- Page(s):
- 724 - 735
- ISSN :
- 1089-778X
- INSPEC Accession Number:
- 10324520
- Digital Object Identifier :
- 10.1109/TEVC.2008.917201
- Product Type:
- Journals & Magazines
- Date of Publication :
- 14 March 2008
- Date of Current Version :
- 25 November 2008
- Issue Date :
- Dec. 2008
- Sponsored by :
- IEEE Computational Intelligence Society
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