基于改进蚁群算法的水库应急供水路线优化

Du Xiang-run, Zhang Jian-long, Feng Min-quan
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引用次数: 0

摘要

为了改善供水路径优化问题,提出了一种基于供水数学模型的改进蚁群优化算法。利用改进的蚁群算法研究供水管网优化问题。对激励信息进行归一化处理,根据选择策略中引入的虚拟路径距离对初始节点进行全局策略首选节点概率选择。在tpdate策略中,采用局部和全局信息素更新,结合蚁群数量的自适应调整和增强随机干扰的改进。结果表明,从各指标上看,改进蚁群算法的计算结果都优于基本蚁群算法。由此可见,改进后的算法能够提高全局搜索能力和收敛速度,能够快速有效地求解供水问题的最优解路径或近似最优解。可为供水路径的选择提供参考。
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Water supply route optimization for reservoir emergency based on improved ant colony algorithm
In order to improve water supply in the path optimization problems, an improved Ant Colony based on the mathematical model of water supply is put forward to figure out optimization algorithm. Using the improved ant colony algorithm research water supply pipe network optimization problems. The inspire information was normalized process and the global strategy preferred node probability select based on the the introduced virtual path distance to the initial node in telection strategy. In the tpdate strategy, used local and global pheromone update and combined adaptive adjustment of the ants number and increased random interference improvement. The results show that the improved ant colony algorithm calculated better than basic ant colony algorithm from the each indicators. It can be seen the improved algorithm can improve the global search ability and convergence speed, can be quickly and effectively to solve the optimal solution path or near optimal solution of water supply. It can provide reference for the choice of the path of water supply.
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