Water cycle algorithm for solving multi-objective optimization problems

被引：0
作者：
Ali Sadollah
Hadi Eskandar
Ardeshir Bahreininejad
Joong Hoon Kim
机构：
[1] Korea University,School of Civil, Environmental and Architectural Engineering
[2] University of Semnan,Faculty of Mechanical Engineering
[3] University of Malaya,Faculty of Engineering
来源：
Soft Computing | 2015年 / 19卷
关键词：
Multi-objective optimization; Water cycle algorithm; Pareto-optimal solutions; Benchmark function; Metaheuristics;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, the water cycle algorithm (WCA), a recently developed metaheuristic method is proposed for solving multi-objective optimization problems (MOPs). The fundamental concept of the WCA is inspired by the observation of water cycle process, and movement of rivers and streams to the sea in the real world. Several benchmark functions have been used to evaluate the performance of the WCA optimizer for the MOPs. The obtained optimization results based on the considered test functions and comparisons with other well-known methods illustrate and clarify the robustness and efficiency of the WCA and its exploratory capability for solving the MOPs.
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页码：2587 / 2603
页数：16
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