Improved Immune Genetic Algorithm For Solving Flow Shop Scheduling Problem

M. Liu; Wei Pang; K.P. Wang; Y. Z. Song; C. G. Zhou

doi:10.1007/978-1-4020-3953-9_7

Improved Immune Genetic Algorithm For Solving Flow Shop Scheduling Problem

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

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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 language	English
Title of host publication	Computational Methods
Editors	G. R. Liu, V. B. C. Tan, X. Han
Place of Publication	Dordrecht, Netherlands
Publisher	Springer
Pages	1057-1062
Number of pages	6
ISBN (Electronic)	9781402039539
ISBN (Print)	9781402039522
DOIs	https://doi.org/10.1007/978-1-4020-3953-9_7
Publication status	Published - 12 Oct 2006

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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 Song, {Y. Z.} and Zhou, {C. G.}",

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AU - Liu, M.

AU - Pang, Wei

AU - Wang, K.P.

AU - Song, Y. Z.

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

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SP - 1057

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BT - Computational Methods

A2 - Liu, G. R.

A2 - Tan, V. B. C.

A2 - Han, X.

PB - Springer

CY - Dordrecht, Netherlands

ER -

Improved Immune Genetic Algorithm For Solving Flow Shop Scheduling Problem

Abstract

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