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Published in:
2011 | OriginalPaper | Chapter
Optimizing for Change through Shades
Authors : Conor Ryan, J. J. Collins, Daniel Howard
Published in: Convergence and Hybrid Information Technology
Publisher: Springer Berlin Heidelberg
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The reliance of Evolutionary Algorithms on haploid genotypes has proved a difficult area for non-stationary function optimization. While it is generally accepted that various approaches involving diploidy can better cope with these kinds of problems, none of these paradigms have gained wide acceptance in the GA community. We describe Shades, a new haploid system which uses Polygenic Inheritance. Polygenic inheritance differs from most implementations of GAs in that several genes contribute to each phenotypic trait. A Knapsack non-stationary function optimization problems from the literature is described, and it is shown how Shades outperforms diploidy for this task.