Title
Quotient geometric crossovers and redundant encodings
Abstract
We extend a geometric framework for the interpretation of search operators to encompass the genotype-phenotype mapping derived from an equivalence relation defined by an isometry group. We show that this mapping can be naturally interpreted using the concept of quotient space, in which the original space corresponds to the genotype space and the quotient space corresponds to the phenotype space. Using this characterization, it is possible to define induced geometric crossovers on the phenotype space (called quotient geometric crossovers). These crossovers have very appealing properties for non-synonymously redundant encodings, such as reducing the size of the search space actually searched, removing the low locality from the encodings, and allowing a more informed search by utilizing distances better tailored to the specific solution interpretation. Interestingly, quotient geometric crossovers act on genotypes but have an effect equivalent to geometric crossovers acting directly on the phenotype space. This property allows us to actually implement them even when phenotypes cannot be represented directly. We give four example applications of quotient geometric crossovers for non-synonymously redundant encodings and demonstrate their superiority experimentally.
Year
DOI
Venue
2012
10.1016/j.tcs.2011.08.015
Theor. Comput. Sci.
Keywords
DocType
Volume
non-synonymously redundant encodings,search space,quotient geometric crossover,quotient space corresponds,original space corresponds,phenotype space,geometric crossover,geometric framework,quotient space,genotype space
Journal
425,
ISSN
Citations 
PageRank 
0304-3975
7
0.57
References 
Authors
21
4
Name
Order
Citations
PageRank
Yourim Yoon118517.18
Yong-Hyuk Kim235540.27
Alberto Moraglio346340.85
Byung-Ro Moon484458.71