标题:
基于改进遗传算法的快递路径优化问题的研究Study on Delivery Route Optimization Based on Improved Genetic Algorithm
作者:
郑丽娜, 王岩焱, 罗融宇, 童旭, 梁欢
关键字:
路径优化, 遗传算法, 交叉概率, 变异概率, 优势个体Route Optimization, The Genetic Algorithm, Crossover Possibility, Mutation Probability, Dominant Individual
期刊名称:
《Advances in Applied Mathematics》, Vol.5 No.3, 2016-08-31
摘要:
本文概述了快递路径优化问题的理论基础及其求解算法，建立了对应问题的数学模型。论述了遗传算法的一般步骤，并分析标准遗传算法在求解该问题中的缺陷及原因。针对标准遗传算法的过早收敛、局部收敛和优势个体退化等缺点，采用自适应交叉和变异概率及保留优势个体的方法改进算法，并结合具体实例介绍其实现方法，验证了改进算法的可行性。
This passage reviewed the basic theory and algorithm of the delivery route optimization problem and established a mathematical model of the corresponding problem. This passage discussed the general steps of Genetic Algorithm and analyzed the defects and their reasons of Standard Genetic Algorithm in solving the problem. Aiming at the defects such as premature convergence, local convergence and dominant individual degradation, this passage improved the algorithm by using adaptive crossover probability and mutation probability and reserving dominant individuals. This passage combined a specific problem with its solution to verify the feasibility of the improved al-gorithm.