2010•Machinery & ElectronicsRequires access

Optimization for Parameters of PID Controller Based on Simulated Annealing Genetic Algorithm

Zhao Zhi-guo

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Abstract

Considering the defect of being prone to be premature convergence for genetic algorithm(GA),simulated annealing algorithm(SA) is integrated with it.Then the simulated annealing genetic algorithm is developed and applied to the optimization.The results show the effectiveness of the integration and the simulated annealing genetic algorithm.

About this research paper

What this paper is about

Considering the defect of being prone to be premature convergence for genetic algorithm(GA),simulated annealing algorithm(SA) is integrated with it.Then the simulated annealing genetic algorithm is developed and applied to the optimization.The results show the effectiveness of the integration and the simulated annealing genetic algorithm.

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Available abstract

Considering the defect of being prone to be premature convergence for genetic algorithm(GA),simulated annealing algorithm(SA) is integrated with it.Then the simulated annealing genetic algorithm is developed and applied to the optimization.The results show the effectiveness of the integration and the simulated annealing genetic algorithm.

Key concepts: Simulated annealing, Adaptive simulated annealing, PID controller, Genetic algorithm, Premature convergence, Annealing (glass), Algorithm, Computer science

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