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Water distribution system design using multi-objective particle swarm optimisation

机译:利用多目标粒子群优化的配水系统设计

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Application of the multi-objective particle swarm optimisation (MOPSO) algorithm to design of water distribution systems is described. An earlier MOPSO algorithm is augmented with (a) local search, (b) a modified strategy for assigning the leader and (c) a modified mutation scheme. For one of the benchmark problems described in the literature, the effect of each of these features on the algorithm performance is demonstrated. The augmented MOPSO algorithm (called MOPSO ) is applied to five benchmark problems, and in each case, non-dominated solutions not reported earlier are found. In addition, for the purpose of comparing Pareto fronts (sets of non-dominated solutions) obtained by different algorithms, a new criterion is suggested, and its usefulness is pointed out with an example. Finally, some suggestions regarding future research directions are made.
机译:描述了多目标粒子群优化(MOPSO)算法对水分配系统的设计。早期的MOPSO算法使用(a)本地搜索来增强(b)用于分配领导者的修改策略和(c)修改的突变方案。对于文献中描述的基准问题之一,对算法性能进行了每个特征的效果。增强的MOPSO算法(称为MOPSO)应用于五个基准问题,并且在每种情况下,未发现未报告的非主导解决方案。另外,为了比较由不同算法获得的帕累托前线(非主导的解决方案集),提出了一种新标准,并且其有用性与一个例子指出。最后,提出了关于未来研究方向的一些建议。

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