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A novel immune quantum-inspired genetic algorithm

  • Ying Li
  • , Yanning Zhang
  • , Yinglei Cheng
  • , Xiaoyue Jiang
  • , Rongchun Zhao
  • Northwestern Polytechnical University Xian

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

16 Scopus citations

Abstract

A new algorithm, the immune quantum-inspired genetic algorithm (IQGA), is proposed by introducing immune concepts and methods into quantum-inspired genetic algorithm (QGA). In application to the knapsack problem, which is a well-known combinatorial optimization problem, the proposed algorithm performs better than the conventional GA (CGA), the immune GA (IGA) and QGA.

Original languageEnglish
Title of host publicationAdvances in Natural Computation
Subtitle of host publication1st International Conference, ICNC 2005 - Proceedings
PublisherSpringer Verlag
Pages215-218
Number of pages4
EditionPART III
ISBN (Print)9783540283201
DOIs
StatePublished - 2005
Event1st International Conference on Natural Computation, ICNC 2005 - Changsha, China
Duration: 27 Aug 200529 Aug 2005

Publication series

NameLecture Notes in Computer Science
NumberPART III
Volume3612
ISSN (Print)0302-9743

Conference

Conference1st International Conference on Natural Computation, ICNC 2005
Country/TerritoryChina
CityChangsha
Period27/08/0529/08/05

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