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The Study of Water Supply Network Optimization Based on the Immune Mechanism of Ant Colony Algorithm

机译:基于蚁群算法免疫机制的供水网络优化研究

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For ant colony algorithm to search for a long time, easy to occur Stagnant phenomenon and sink into local most superior defects, and puts forward a kind of immune mechanism of the ant colony algorithm, and the algorithm is applied to typical water supply network in the combinatorial optimization problem. Combined with water supply network for example problem using respectively based on immune mechanisms of the ant colony algorithm and genetic algorithm and the basic ant colony algorithm for example to analysis. The results show that the improved algorithm is easier to realize the global optimal solution, and high efficiency, the optimization algorithm is better than other traditional optimization for solving water distribution network ability. So demonstrate the effectiveness of the algorithm.
机译:对于蚁群算法搜索很长一段时间,容易发生停滞现象并进入局部最优异的缺陷,并提出了一种蚁群算法的一种免疫机制,并且该算法应用于典型供水网络组合优化问题。基于蚁群算法和遗传算法的免疫机制及基于遗传算法的免疫机制和遗传算法的基本蚁群算法,与供水网络相结合。结果表明,改进的算法更容易实现全局最优解决方案,优化算法优于其他传统优化,以解决水分配网络能力。因此,证明了算法的有效性。

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