Self-organizing genetic algorithm based tuning of PID controllers-Reference-Cited by-同舟云学术

Self-organizing genetic algorithm based tuning of PID controllers

Published:2009-03 Issue:7 Volume:179 Page:1007-1018
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Zhang Jinhua,Zhuang Jian,Du Haifeng,Wang Sun’an

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference21 articles.

1. T. Bäck, M. Schütz, Intelligent mutation rate control in canonical genetic algorithms, in: Proceedings of the International Symposium on Methodologies for Intelligent Systems, 1996, pp. 158–167.

2. A multi-crossover genetic approach to multivariable PID controllers tuning;Chang;Expert Systems with Applications,2007

3. The distribution population-based genetic algorithm for parameter optimization PID controller;Chen;Acta Automatica Sinica,2005

4. Varying the probability of mutation in the genetic algorithm;Fogarty,1989

5. Evolutionary Computation: Toward a New Philosophy of Machine Intelligence;Fogel,1995

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