Genetic algorithm for logistics scheduling problem

This paper introduces a method to solve logistics scheduling problems with constraints by using genetic algorithms (GAs). The GA is reviewed first. Then the scheduling problem is introduced. The methods and mathematical model for this problem are presented. Four methods for crossover and two methods...

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Bibliographic Details
Main Authors: Chen Wen, Eberhart, R.C.
Format: Conference Proceeding
Language:English
Subjects:
Biological cells
Costs
Genetic algorithms
Genetic engineering
Genetic mutations
History
Logistics
Mathematical model
Paper technology
Processor scheduling
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Summary:This paper introduces a method to solve logistics scheduling problems with constraints by using genetic algorithms (GAs). The GA is reviewed first. Then the scheduling problem is introduced. The methods and mathematical model for this problem are presented. Four methods for crossover and two methods for mutation are used. Finally, the scheduling results are given.
DOI:10.1109/CEC.2002.1006287