2009Journal of Chongqing University of Arts and SciencesRequires access

Simulated annealing hybrid genetic algorithm and its realization

Jiang Jian

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Abstract

Traditional basic genetic algorithm has deficiencies in global search and convergence speed.Combined the basic genetic algorithm with the simulated annealing algorithm,the simulated annealing hybrid genetic algorithm was proposed,which can greatly accelerate the convergence speed,using a multi-peak function to verify the performance of the hybrid algorithm.

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What this paper is about

Traditional basic genetic algorithm has deficiencies in global search and convergence speed.Combined the basic genetic algorithm with the simulated annealing algorithm,the simulated annealing hybrid genetic algorithm was proposed,which can greatly accelerate the convergence speed,using a multi-peak function to verify the performance of the hybrid algorithm.

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Available abstract

Traditional basic genetic algorithm has deficiencies in global search and convergence speed.Combined the basic genetic algorithm with the simulated annealing algorithm,the simulated annealing hybrid genetic algorithm was proposed,which can greatly accelerate the convergence speed,using a multi-peak function to verify the performance of the hybrid algorithm.

Key concepts: Simulated annealing, Adaptive simulated annealing, Genetic algorithm, Algorithm, Computer science, Convergence (economics), Realization (probability), Annealing (glass)

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