Improved Immune Genetic Algorithm For Solving Flow Shop Scheduling Problem

M. Liu, Wei Pang, K.P. Wang, C.G. Zhou

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

An improved Immune Genetic Algorithm was proposed to solve the Flow Shop Problem. Basing on the standard Immune Genetic Algorithm, the vaccination technique and a novel method for calculating the affinity between the antibodies was added. Finally the algorithm was test with standard benchmark problems, and the experiment result shows the validity of the algorithm.
Original languageEnglish
Title of host publicationComputational methods
EditorsG.R. Liu, V.B.C. Tan, X. Han
Place of PublicationDordrecht, Netherlands
PublisherSpringer
Pages1057-1062
Number of pages6
ISBN (Electronic)978-1402039539
ISBN (Print)1402039522, 978-1402039522
DOIs
Publication statusPublished - 12 Oct 2006

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    Liu, M., Pang, W., Wang, K. P., & Zhou, C. G. (2006). Improved Immune Genetic Algorithm For Solving Flow Shop Scheduling Problem. In G. R. Liu, V. B. C. Tan, & X. Han (Eds.), Computational methods (pp. 1057-1062). Springer . https://doi.org/10.1007/978-1-4020-3953-9_7