Continuous quantum ant colony optimization and its application to optimization and analysis of induction motor structure

Weili Li, Qiaoyu Yin, Xiaochen Zhang

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)

Abstract

A new kind of quantum ant colony algorithm for continuous space optimization is proposed in this paper, by the introduction of quantum computation into ant colony optimization. Each ant carries a group of quantum bits representing its current position. And quantum bits are updated by quantum rotation gate to make ant's position changed. Some quantum bits are mutated by quantum nongate to increase the population diversity. Numerical simulation results show that new algorithm has better global search capability and faster convergence rate than classical ant colony optimization. Furthermore, the new algorithm is applied to optimization for motor structure parameters successfully, and satisfactory optimization results are obtained. A new effective method for motor structure optimization has been suggested based on continuous quantum ant colony optimization.

Original languageEnglish
Title of host publicationProceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing
Subtitle of host publicationTheories and Applications, BIC-TA 2010
Pages313-317
Number of pages5
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010 - Changsha, China
Duration: 23 Sep 201026 Sep 2010

Publication series

NameProceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010

Conference

Conference2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010
Country/TerritoryChina
CityChangsha
Period23/09/1026/09/10

Keywords

  • Ant colony optimization
  • Continuous quantum ant colony optimization
  • Induction motor
  • Optimal design
  • Structure optimization

ASJC Scopus subject areas

  • Biotechnology
  • Computational Theory and Mathematics
  • Electrical and Electronic Engineering

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