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The Simple Genetic Algorithm and the Walsh Transform: Part II, The Inverse
Author(s) -
Michael D. Vose,
Alden H. Wright
Publication year - 1998
Publication title -
evolutionary computation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.732
H-Index - 82
eISSN - 1530-9304
pISSN - 1063-6560
DOI - 10.1162/evco.1998.6.3.275
Subject(s) - crossover , mathematics , mixing (physics) , simple (philosophy) , mutation , inverse , operator (biology) , algorithm , population , zero (linguistics) , point (geometry) , genetic algorithm , scheme (mathematics) , combinatorics , mathematical optimization , mathematical analysis , computer science , artificial intelligence , genetics , physics , biology , philosophy , linguistics , geometry , demography , epistemology , repressor , quantum mechanics , sociology , transcription factor , gene
This paper continues the development, begun in Part I, of the relationship between the simple genetic algorithm and the Walsh transform. The mixing scheme (comprised of crossover and mutation) is essentially "triangularized" when expressed in terms of the Walsh basis. This leads to a formulation of the inverse of the expected next generation operator. The fixed points of the mixing scheme are also determined, and a formula is obtained giving the fixed point corresponding to any starting population. Geiringer's theorem follows from these results in the special case corresponding to zero mutation.

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