關鍵字查詢 | 類別:期刊論文 | | 關鍵字:A Study on the application of genetic algorithms on the Dial-A-Ride Problem

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1 96/2 運管系 邱顯明 副教授 期刊論文 發佈 A Study on the application of genetic algorithms on the Dial-A-Ride Problem , [96-2] :A Study on the application of genetic algorithms on the Dial-A-Ride Problem期刊論文A Study on the application of genetic algorithms on the Dial-A-Ride ProblemChiu, Hsien-Ming; Huang, Han-Shuan淡江大學運輸管理學系Dial-and-Ride Problem;Genetic Algorithms;Meta-heuristicStevens Point, Wisconsin: The WSEAS (The World Scientific and Engineering Academy and Society)WSEAS Transactions on Business and Economics 5(4), pp.128-133The Dial-a-Ride Problem (DARP) is a vehicle routing problem faced in arranging Dial-a-Ride services. The DARP has been proven a NP-Hard problem; therefore, most research has used heuristic solution methods to address this issue. The purpose of this study is to evaluate of the application of a Diversity Control Adaptive Genetic Algorithm (DCAGA) and Family Competition Genetic Algorithm (FCGA) on the DARP. This study proposed two solution procedures, which were integrated approach and cluster approach. A series of case studies with different characteristics, such as demand density and de
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