DocumentCode :
1609570
Title :
Autonomous Distributed Genetic Approach for Route Planning Problems
Author :
Noishiki, M. ; Sakakibara, K. ; Nishikawa, I. ; Tamaki, H. ; Nakayama, K.
Author_Institution :
Coll. of Inf. Sci. & Eng., Ritsumeikan Univ., Kusatsu
fYear :
2006
Firstpage :
6075
Lastpage :
6079
Abstract :
We consider the pickup and delivery problem with time windows as a general model of the practical transportation problems in automated guided vehicle systems, logistic systems, etc. The problem requires that any paired pickup and delivery locations have to be served by one vehicle and the pickup location has to be scheduled before the corresponding delivery location in the route. In this paper, to search a set of routes close to the optimal one, we propose the autonomous distributed genetic approach based on the search space decomposition for the problem. In this approach, first, the search space is divided into sub-spaces based on the number of customers loaded in each vehicle. Then, GA is applied in each sub-space. In addition, the dynamic separation is applied for an efficient search. The effectiveness of the search space decomposition is evaluated by computational experiments
Keywords :
genetic algorithms; search problems; transportation; automated guided vehicle system; autonomous distributed genetic approach; logistic system; route planning problem; search space decomposition; time window-based pickup and delivery problem; transportation problem; Educational institutions; Electronic mail; Genetic algorithms; Genetic engineering; Information science; Logistics; Remotely operated vehicles; Space vehicles; Transportation; Vehicle dynamics; dynamic separation; genetic algorithm; pickup and delivery problem; search space decomposition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE-ICASE, 2006. International Joint Conference
Conference_Location :
Busan
Print_ISBN :
89-950038-4-7
Electronic_ISBN :
89-950038-5-5
Type :
conf
DOI :
10.1109/SICE.2006.315210
Filename :
4108667
Link To Document :
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