journal6 ›› 2008, Vol. 29 ›› Issue (6): 42-46.

• Computer • Previous Articles     Next Articles

Current Progress in Evolutionary Algorithm Based Multi-Objective Production Scheduling


  1. (Automation Department,North China Electric Power University,Beijing 102206,China)
  • Online:2008-11-25 Published:2012-05-19

Abstract: Researches that employ multi-objective evolutionary algorithm to solve complex production scheduling problems have boomed during the past decade.A comprehensive investigation on evolutionary algorithm based multi-objective production scheduling techniques,which includes three kind of optimization frameworks,has been taken in this paper.Future research trends have been proposed after the merits and drawbacks of each generic of the algorithm being compared with others.

Key words: multi-objective evolutionary algorithm, production scheduling, interactive strategy

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