Study on tabu search algorithm for stochastic vehicle routing problem
Xing Liu, HE Guo-guang
Abstract
Xing Liu, HE Guo-guang
Abstract
On the basis of describing the vehicle routing problem briefly,a new improved tabu search algorithm is presented.In this algorithm,routing problem is divided into several sub-problems according to vehicle-customer assigning structure,and an inner tabu search algorithm is applied for each sub-problem,at last the answer of the whole problem is find among the answers of all sub-problems.Two conclusions are drawn by computation results and theory:the algorithm extends the search scope,improving the optimisation effect;The algorithm is a collateral algorithm that can be run by several computer at the same time to decrease the whole optimisation time.
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On the basis of describing the vehicle routing problem briefly,a new improved tabu search algorithm is presented.In this algorithm,routing problem is divided into several sub-problems according to vehicle-customer assigning structure,and an inner tabu search algorithm is applied for each sub-problem,at last the answer of the whole problem is find among the answers of all sub-problems.Two conclusions are drawn by computation results and theory:the algorithm extends the search scope,improving the optimisation effect;The algorithm is a collateral algorithm that can be run by several computer at the same time to decrease the whole optimisation time.
Key concepts: Tabu search, Vehicle routing problem, Mathematical optimization, Computer science, Algorithm, Guided Local Search, Computation, Routing (electronic design automation)