Title
Genetic algorithm for logistics scheduling problem
Abstract
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
Year
DOI
Venue
2002
10.1109/CEC.2002.1006287
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress  
Keywords
DocType
Volume
genetic algorithms,goods distribution,scheduling,transportation,cargo delivery,constraints,crossover,fitness function,genetic algorithm,logistics scheduling problem,mathematical model,mutation,scheduling problem,logistics,genetic engineering,history
Conference
1
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Wen Chen152.20
Russell C. Eberhart2184.73