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AuthorKurt S. Anderson, YuHung Hsu
TitleDomain Approximation and Deterministic Progression in Genetic Crossover
Year2000
JournalEngineering Optimization
Volume- -
Pages- -
AbstractThe fitness difference between two strings is usually neglected in most crossover operators. The neglect of this useful information often results in the less efficient propagation of search trials into fitness improved regions, and a general increase in the number of function evaluations required to obtained a converged solution. An alternative crossover strategy is presented which brings this information into consideration to assist locating search trials. The concept of the strategy involves components of solution domain approximation, progressing direction establishment, and the deterministic locating of future search trials. The implementation of this crossover scheme has empirically demonstrated its effectiveness in significantly reducing the required number of function evaluations, and improving solution quality compared with some conventional crossover strategies.
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