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 Chen | 1 | 5 | 2.20 |
Russell C. Eberhart | 2 | 18 | 4.73 |