A novel quantum genetic algorithm for PID controller

Authors:
Jindong Wang;Rigui Zhou
Affiliations:
Shandong Computer Science Center, Jinan, Shandong, P.R. China;College of Information Engineering, East China JiaoTong University, Nanchang, Jiangxi, P.R. China
Venue:
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
Year:
2010

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Abstract

Based on subpopulation parallel computing,a novel quantum genetic algorithm (NQGA) is presented. In the algorithm, each axis of solution is divided into k parts, so m dimensional space is partitioned km subspaces, the individual (or chromosome) from different subspace code differently. Finally, NQGA and the classical quantum genetic algorithm (QGA) are applied to parameter optimization of PID controller, simulation results show that NQGA performs better than QGA on running speed and optimizing capability.