Emergency Logistics Routing Optimization Algorithm Based on Improved Genetic Algorithm
IC3T '12 Proceedings of the 2012 International Conference on Convergence Computer Technology（2012）
摘要
in this paper, routing optimization model that vehicles in rescue centre are less than the number of stricken area has been established. It adopts the hill climbing method to improve the traditional genetic algorithm, analyze production of the initial population, definition of adaptive function, Selection of coding method and genetic operator. In addition, Algorithm running process is presented in the paper, Computer simulations indicated that, compared with the basic algorithm, improved genetic algorithm has better path selection, and distribution of the time.
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关键词
basic algorithm,adaptive function,genetic operator,traditional genetic algorithm,emergency logistics routing optimization,improved genetic algorithm,better path selection,optimization model,coding method,computer simulation,initial population,hill climbing algorithm,genetic algorithm
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