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An Age-structured Genetic Algorithm

Da Xu

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Abstract

Combined with natural laws and the method of genetic algorithms,an age structured genetic algorithm is presented.Different operations are conducted with different age unites in the method,and therefore the main problem in genetic algorithms--premature convergence--is overcome.In this way,the algorithm keeps the diversity of population,and thereby converges conveniently on global solutions.The settlement of premature convergence and the improvement on convergence are illustrated by some examples.

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What this paper is about

Combined with natural laws and the method of genetic algorithms,an age structured genetic algorithm is presented.Different operations are conducted with different age unites in the method,and therefore the main problem in genetic algorithms--premature convergence--is overcome.In this way,the algorithm keeps the diversity of population,and thereby converges conveniently on global solutions.The settlement of premature convergence and the improvement on convergence are illustrated by some examples.

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Available abstract

Combined with natural laws and the method of genetic algorithms,an age structured genetic algorithm is presented.Different operations are conducted with different age unites in the method,and therefore the main problem in genetic algorithms--premature convergence--is overcome.In this way,the algorithm keeps the diversity of population,and thereby converges conveniently on global solutions.The settlement of premature convergence and the improvement on convergence are illustrated by some examples.

Key concepts: Premature convergence, Convergence (economics), Genetic algorithm, Mathematical optimization, Computer science, Algorithm, Cultural algorithm, Population

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