학술논문

Mathematical Interpretation between Genotype and Phenotype Spaces and Induced Geometric Crossovers
Document Type
Working Paper
Source
Subject
Computer Science - Neural and Evolutionary Computing
Computer Science - Discrete Mathematics
Language
Abstract
In this paper, we present that genotype-phenotype mapping can be theoretically interpreted using the concept of quotient space in mathematics. Quotient space can be considered as mathematically-defined phenotype space in the evolutionary computation theory. The quotient geometric crossover has the effect of reducing the search space actually searched by geometric crossover, and it introduces problem knowledge in the search by using a distance better tailored to the specific solution interpretation. Quotient geometric crossovers are directly applied to the genotype space but they have the effect of the crossovers performed on phenotype space. We give many example applications of the quotient geometric crossover.
Comment: 21 pages, 3 figures