Name
Abstract | ||
|---|---|---|
In this paper we discuss the optimal design problem of material distribution system which consists of customers and a number of inventory centers to be located. We formulate this problem as a mixed integer programming model and propose an evolutionary program method which absorbs ideas of Genetic Algorithm (GA) and Evolutionary Strategy (ES) as well as traditional techniques to solve it. Compared with the alternative location-allocation heuristic method, this evolutionary program method is more promising in finding better solution which can be regarded as near global solution. We demonstrate the effectiveness of the evolutionary program method by numerical experiments |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1109/ICEC.1996.542349 | International Conference on Evolutionary Computation |
Keywords | Field | DocType |
genetic algorithms,goods distribution,integer programming,operations research,optimisation,stock control,customers,evolutionary program method,evolutionary strategy,genetic algorithm,inventory centers,material distribution system,mixed integer programming model,near global solution,numerical experiments,optimal design problem | Interactive evolutionary computation,Mathematical optimization,Heuristic,Computer science,Optimal design,Integer programming,Evolution strategy,Linear programming,Evolutionary programming,Genetic algorithm | Conference |
ISBN | Citations | PageRank |
0-7803-2902-3 | 3 | 0.69 |
References | Authors | |
3 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dijin Gong | 1 | 3 | 0.69 |
| Genji Yamazaki | 2 | 88 | 12.04 |
| Mitsuo Gen | 3 | 1873 | 130.43 |