2006•Unpublished venueRequires access

Study on a New Chaos Genetic Optimization Algorithm

Zhang Hai

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Abstract

Based on the improvement of the Genetic Algorithm and Chaos Optimization method,a new chaos genetic algorithm(CGA) is developed.The population is initialized using the ergodicity of chaos.Mutative scale chaos optimization approach is applied to part of the children generation.Simulation results of typical complex function optimization show that the CGA can surely obtain the global optimum solution and is of higher optimization efficiency.

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What this paper is about

Based on the improvement of the Genetic Algorithm and Chaos Optimization method,a new chaos genetic algorithm(CGA) is developed.The population is initialized using the ergodicity of chaos.Mutative scale chaos optimization approach is applied to part of the children generation.Simulation results of typical complex function optimization show that the CGA can surely obtain the global optimum solution and is of higher optimization efficiency.

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Available abstract

Based on the improvement of the Genetic Algorithm and Chaos Optimization method,a new chaos genetic algorithm(CGA) is developed.The population is initialized using the ergodicity of chaos.Mutative scale chaos optimization approach is applied to part of the children generation.Simulation results of typical complex function optimization show that the CGA can surely obtain the global optimum solution and is of higher optimization efficiency.

Key concepts: CHAOS (operating system), Ergodicity, Mathematical optimization, Genetic algorithm, Meta-optimization, Computer science, Optimization algorithm, Optimization problem

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