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2011•Journal of Xuzhou Institute of TechnologyRequires access

Design of Structural Optimization for Adaptive Genetic Simulated Annealing

Jingyu Liu

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Abstract

In this paper,genetic algorithm(GA) and simulated annealing(SA) are presented for optimizing the structural systems with discrete design variable.First,in order to improve the convergence of GA and avoid the premature convergence,an adaptive GA is introduced.Second,GA and SA were mixed to enhance the computation precision and operating efficiency.Finally,the adaptive GSA was shown more effective than GA by an example.

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What this paper is about

In this paper,genetic algorithm(GA) and simulated annealing(SA) are presented for optimizing the structural systems with discrete design variable.First,in order to improve the convergence of GA and avoid the premature convergence,an adaptive GA is introduced.Second,GA and SA were mixed to enhance the computation precision and operating efficiency.Finally,the adaptive GSA was shown more effective than GA by an example.

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Available abstract

In this paper,genetic algorithm(GA) and simulated annealing(SA) are presented for optimizing the structural systems with discrete design variable.First,in order to improve the convergence of GA and avoid the premature convergence,an adaptive GA is introduced.Second,GA and SA were mixed to enhance the computation precision and operating efficiency.Finally,the adaptive GSA was shown more effective than GA by an example.

Key concepts: Simulated annealing, Computation, Premature convergence, Genetic algorithm, Adaptive simulated annealing, Convergence (economics), Mathematical optimization, Computer science

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