水准点(测量)
粒子群优化
数学优化
帕累托原理
方案(数学)
计算机科学
分布(数学)
多目标优化
帕累托最优
算法
数学
大地测量学
数学分析
地理
作者
Mukesh D. Patil,M. Naveen Naidu,Arunchandar Vasan,Murari R. R. Varma
标识
DOI:10.1007/s12046-019-1258-y
摘要
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.
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