Adam Ghozeil

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There is a need for methods to generate more efficient and effective evolutionary algorithms. Traditional techniques that rely on schema processing, minimizing expected losses, and an emphasis on particular genetic operators have failed to provide robust optimization performance. An alternative technique for enhancing both the expected rate and probability(More)
Traditional selection in genetic algorithms has relied on reproduction in proportion to observed ®tness. There has been recent interest in assessing the result of proportional selection on schemata in the presence of random e€ects (e.g., noisy evaluation of solutions). The analysis presented here indicates, in contrast with previous literature, that the(More)
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