Optimization of Vehicle Routing Problem based on Improved Tabu Search Algorithm
Li Song
Abstract
Li Song
Abstract
A new improved tabu search algorithm for solving vehicle routing problem(VRP) is put forward.First,the whole VRP is decomposed into several sub-problems by vehicle-demand assigning structure,and tabu search algorithm is applied for solving each sub-problem,at last the optimal solution of the whole problem is found among the optimal solution of all sub-problems.The result of a representative example and the analysis are given.The simulation results show that the proposed algorithm can extend the search scope and improve the optimal solution,and it can solve the VRP problem efficiently.
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A new improved tabu search algorithm for solving vehicle routing problem(VRP) is put forward.First,the whole VRP is decomposed into several sub-problems by vehicle-demand assigning structure,and tabu search algorithm is applied for solving each sub-problem,at last the optimal solution of the whole problem is found among the optimal solution of all sub-problems.The result of a representative example and the analysis are given.The simulation results show that the proposed algorithm can extend the search scope and improve the optimal solution,and it can solve the VRP problem efficiently.
Key concepts: Tabu search, Vehicle routing problem, Mathematical optimization, Guided Local Search, Scope (computer science), Algorithm, Computer science, Routing (electronic design automation)