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

Fingerprint

Genetic algorithms
Scheduling
Antibodies
Experiments

Cite this

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). Dordrecht, Netherlands: Springer . https://doi.org/10.1007/978-1-4020-3953-9_7

Improved Immune Genetic Algorithm For Solving Flow Shop Scheduling Problem. / Liu, M.; Pang, Wei; Wang, K.P.; Zhou, C.G.

Computational methods. ed. / G.R. Liu; V.B.C. Tan; X. Han. Dordrecht, Netherlands : Springer , 2006. p. 1057-1062.

Research output: Chapter in Book/Report/Conference proceedingChapter

Liu, M, Pang, W, Wang, KP & Zhou, CG 2006, Improved Immune Genetic Algorithm For Solving Flow Shop Scheduling Problem. in GR Liu, VBC Tan & X Han (eds), Computational methods. Springer , Dordrecht, Netherlands, pp. 1057-1062. https://doi.org/10.1007/978-1-4020-3953-9_7
Liu M, Pang W, Wang KP, Zhou CG. Improved Immune Genetic Algorithm For Solving Flow Shop Scheduling Problem. In Liu GR, Tan VBC, Han X, editors, Computational methods. Dordrecht, Netherlands: Springer . 2006. p. 1057-1062 https://doi.org/10.1007/978-1-4020-3953-9_7
Liu, M. ; Pang, Wei ; Wang, K.P. ; Zhou, C.G. / Improved Immune Genetic Algorithm For Solving Flow Shop Scheduling Problem. Computational methods. editor / G.R. Liu ; V.B.C. Tan ; X. Han. Dordrecht, Netherlands : Springer , 2006. pp. 1057-1062
@inbook{940f66ff69254aed9bcf8a0af3d07aef,
title = "Improved Immune Genetic Algorithm For Solving Flow Shop Scheduling Problem",
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.",
author = "M. Liu and Wei Pang and K.P. Wang and C.G. Zhou",
year = "2006",
month = "10",
day = "12",
doi = "10.1007/978-1-4020-3953-9_7",
language = "English",
isbn = "1402039522",
pages = "1057--1062",
editor = "G.R. Liu and V.B.C. Tan and X. Han",
booktitle = "Computational methods",
publisher = "Springer",

}

TY - CHAP

T1 - Improved Immune Genetic Algorithm For Solving Flow Shop Scheduling Problem

AU - Liu, M.

AU - Pang, Wei

AU - Wang, K.P.

AU - Zhou, C.G.

PY - 2006/10/12

Y1 - 2006/10/12

N2 - 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.

AB - 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.

U2 - 10.1007/978-1-4020-3953-9_7

DO - 10.1007/978-1-4020-3953-9_7

M3 - Chapter

SN - 1402039522

SN - 978-1402039522

SP - 1057

EP - 1062

BT - Computational methods

A2 - Liu, G.R.

A2 - Tan, V.B.C.

A2 - Han, X.

PB - Springer

CY - Dordrecht, Netherlands

ER -