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International Conference on Advanced Computer Theory and Engineering (ICACTE 2009)

Xie Yi
Xie Yi
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Genetic Algorithms seek to solve optimization problems by implementing bioinspired techniques that simulate the evolution of living beings. This work explores a particular aspect of these techniques and proposes an individual mate choice criteria for the mating phase, called IBC. The main idea is to delegate the choice of the mate to the individuals, seeking to obtain a positive incidence in the evolution of the individuals throughout the generations. The choice criteria is codified within the chromosome, so it participates of the evolutionary process, giving each individual its own criteria. Experimental comparison between IBC, Rank and Binary Tournament show a positive tendency for the proposed technique.

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