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• W2895568972 abstract "Artificial fish swarm algorithm (AFSA) has important theoretical research value and practical significance in solving VRP. The traditional AFSA which does not consider the structural features of VRP will lead to too complex for the process to solve problems, too much time to search optimal solution and too low computational accuracy. In this paper, the traditional method is improved that neighborhood search which are more efficient for VRP are used in the three behaviors of AF swarm, and discretize the three behaviors. The improvement optimizes the behavior of finding optimal solution of AFSA in VRP, and avoids the convergence rate becoming too fast in later stage and falling into the local optimal while expanding the search. Through the experimental comparative analysis, the improved method is more effective and feasible than traditional method." @default.
• W2895568972 created "2018-10-12" @default.
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• W2895568972 date "2018-01-01" @default.
• W2895568972 modified "2023-09-27" @default.
• W2895568972 title "Application of Artificial Fish Swarm Algorithm in Vehicle Routing Problem" @default.
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• W2895568972 doi "https://doi.org/10.1007/978-981-13-2829-9_1" @default.
• W2895568972 hasPublicationYear "2018" @default.
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