• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊
论文

Solving the Workshop Scheduling Problem  Using the Immune Genetic Algorithm  Based on Dynamic Vaccine Pools

  • LONG Liu-Yong ,
  • CAO Ju ,
  • ZHANG Yan
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  • (Department of Mathematics,Huazhong University of Science and Technology,Wuhan 430074;)

Received date: 2007-11-20

  Revised date: 2008-02-18

  Online published: 2010-01-26

Abstract

This paper proposes the immune genetic algorithm based on dynamic vaccine pools to solve the NPhard workshop scheduling problem. The algorithm adopts preference listbased representation that is different from the past representation based on the working procedure, and gives the corresponding crossover and mutation ways. Meanwhile,in the process of inoculation, the algorithm constantly adjusts the gene pool and judges the gene fragments for the capability of the gene pool,so as to make the better vaccine access to the vaccine pool to  better guide the evolution of the population. The simulation experiments show that the algorithm is efficient.

Cite this article

LONG Liu-Yong , CAO Ju , ZHANG Yan . Solving the Workshop Scheduling Problem  Using the Immune Genetic Algorithm  Based on Dynamic Vaccine Pools[J]. Computer Engineering & Science, 2010 , 32(2) : 124 -127 . DOI: 10.3969/j.issn.1007130X.2010.

Outlines

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