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- W3001846489 abstract "The Clustered Vehicle Routing Problem with Time Window (CVRPTW) is an extension of the traditional Vehicle Routing Problem (VRP), which aims to find a high efficiency and feasible solution. In actual situation, the distribution of customer is not dispersed, but centralized in several regions. CVRPTW has greater research implications. Compared with Vehicle Routing Problem with Time Window (VRPTW), CVRPTW often has many constraints. The process of finding the optimal solution is more complicated, and the consumption of time resources is relatively large. Therefore, this paper proposes a multiobjective evolutionary algorithm with fast convergence strategy (MOEA-FCS) to solve CVRPTW. The fast convergence strategy divides the population into subpopulations, each of subpopulation evolves in different directions. Experimental results show that MOEA-FCS converges much faster than NSGA-II and SPEA2, the distribution of solutions is better than NSGA-II and SPEA2." @default.
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- W3001846489 date "2019-04-01" @default.
- W3001846489 modified "2023-09-23" @default.
- W3001846489 title "Multiobjective Evolutionary Algorithm with Fast Convergence Strategy for Clustered Vehicle Routing Problem with Time Window" @default.
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- W3001846489 doi "https://doi.org/10.1109/smile45626.2019.8965277" @default.
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