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01.09.2015 | Methodologies and Application

Water cycle algorithm for solving multi-objective optimization problems

verfasst von: Ali Sadollah, Hadi Eskandar, Ardeshir Bahreininejad, Joong Hoon Kim

Erschienen in: Soft Computing | Ausgabe 9/2015

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Abstract

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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Titel: Water cycle algorithm for solving multi-objective optimization problems
verfasst von: Ali Sadollah
Hadi Eskandar
Ardeshir Bahreininejad
Joong Hoon Kim
Publikationsdatum: 01.09.2015
Verlag: Springer Berlin Heidelberg
Erschienen in: Soft Computing / Ausgabe 9/2015
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-014-1424-4

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