| Autor: |
LIU Sheng--hui, REN Juan, ZHANG Shu-Li |
| Jazyk: |
čínština |
| Rok vydání: |
2017 |
| Předmět: |
|
| Zdroj: |
Journal of Harbin University of Science and Technology, Pp 1-7 (2017) |
| Druh dokumentu: |
article |
| ISSN: |
1007-2683 |
| DOI: |
10.15938/j.jhust.2017.03.001 |
| Popis: |
According to the characteristics of the Flexible job shop scheduling problem the minimum makespan as measures we proposed a distributed particle swarm optimization algorithm aiming to solve flexible job shop scheduling problem. The algorithm adopts the method of distributed ideas to solve problems and we are established for two multi agent particle swarm optimization model in this algorithm it can solve the traditional particle swarm optimization algorithm when making decisions in real time according to the emergencies. Finally some benthmark problems were experimented and the results are compared with the traditional algorithm. Experimental results proved that the developed distributed PSO is enough effective and efficient to solve the FJSP and it also verified the reasonableness of the multi}gent particle swarm optimization model. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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