Hybrid Genetic Tabu Search Simulated Annealing Algorithm and its application in vehicle routing problem with time windows
Mengzhu Shi, Qingguo Lin, Qiang Zhang, Huanhong Zhao
Abstract
Mengzhu Shi, Qingguo Lin, Qiang Zhang, Huanhong Zhao
Abstract
A detail analysis of VRPTW and the condition for the investigation of VRPTW is proposed following with some related mathematics models. For the characteristics of the VRPTW, GTSA algorithm is designed combined with the Tabu Search algorithm and Simulated Annealing algorithm. Finally, an instance is presented to validate the three algorithms GA, GSA and GTSA by MATLAB and some comparisons between them are made. It is concluded that the GSA and GTSA have very good searching capability and computing efficiency, with stable and reliable computing ability.
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A detail analysis of VRPTW and the condition for the investigation of VRPTW is proposed following with some related mathematics models. For the characteristics of the VRPTW, GTSA algorithm is designed combined with the Tabu Search algorithm and Simulated Annealing algorithm. Finally, an instance is presented to validate the three algorithms GA, GSA and GTSA by MATLAB and some comparisons between them are made. It is concluded that the GSA and GTSA have very good searching capability and computing efficiency, with stable and reliable computing ability.
Key concepts: Tabu search, Simulated annealing, Vehicle routing problem, MATLAB, Computer science, Genetic algorithm, Mathematical optimization, Algorithm