Title of article :
Solving Multi-Objective Distribution Model Using
Author/Authors :
Dharmapriya ، U.S.S. - University of Peradeniya , Siyambalapitiya ، S.B. - University of Peradeniya , Kulatunga ، A.K. - University of Peradeniya
Pages :
6
From page :
60
To page :
65
Abstract :
Artificial Intelligent (AI) techniques make a great influence on real-world distribution operations due to the complexity and the difficulty of finding an optimal solution within the limited time frame. To bridge the gap between standard problems in distribution and the real world problems, in this research, the standard VRP problem is extended to Multi Depot Vehicle Routing Problem with Time Windows and Split Delivery (MDVRPTWSD). The objective of the study is to (a) minimize the overall transportation cost (b) minimize distance (c) fully utilizing the fleets vehicles (d) distribute balanced load throughout the vehicles. The study tries to investigate the applicability of AI techniques to solve the multi objective problem.
Keywords :
Artificial Intelligence , Multi Objective , Simulated Annealing , Tabu Search , Vehicle routing problem
Journal title :
International Journal of industrial engineering and mangement science
Serial Year :
2017
Journal title :
International Journal of industrial engineering and mangement science
Record number :
2468834
Link To Document :
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