遗传算法衍生数字积分器及其在连续系统离散化中的应用

Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600) Pub Date : 2002-05-12 DOI:10.1109/CEC.2002.1006275

C. Hsu, Wei-Yen Wang, Chih-Yung Yu

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引用次数: 10

摘要

提出了一种利用遗传算法提高精度的增强型数字积分器(EDI)。通过指定待求积分器的期望功率和比较区间，采用基于原始积分器与候选积分器之间均方根误差的遗传算法搜索由增强型数字积分器参数组成的染色体。这样，最优增强型数字积分器的所有最优参数都可以进化得到。为了证明所提方法的有效性，利用所导出的增强数字积分器对连续系统进行离散逼近。

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Genetic algorithm-derived digital integrators and their applications in discretization of continuous systems

A set of enhanced digital integrators (EDI) with improved accuracy using genetic algorithms are proposed in this paper. By specifying a desired power for the integrator to be sought and the interval for comparison, chromosomes consisting of parameters of the enhanced digital integrator are then searched by the genetic algorithm based on root mean squared (RMS) error between the original integrator and candidates of the enhanced digital integrator. Thus, all the best parameters of an optimal enhanced digital integrator can be evolutionarily obtained. To demonstrate the effectiveness of the proposed approach, the derived enhanced digital integrators are used to obtain the discrete approximation for continuous systems.

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Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)

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