TY - JOUR
T1 - Water cycle algorithm for solving constrained multi-objective optimization problems
AU - Sadollah, Ali
AU - Eskandar, Hadi
AU - Kim, Joong Hoon
N1 - Funding Information:
This work was supported by the National Research Foundation of Korea (NRF ) grant funded by the Korean government (MSIP) ( NRF-2013R1A2A1A01013886 ).
PY - 2015/2
Y1 - 2015/2
N2 - In this paper, a metaheuristic optimizer, the multi-objective water cycle algorithm (MOWCA), is presented for solving constrained multi-objective problems. The MOWCA is based on emulation of the water cycle process in nature. In this study, a set of non-dominated solutions obtained by the proposed algorithm is kept in an archive to be used to display the exploratory capability of the MOWCA as compared to other efficient methods in the literature. Moreover, to make a comprehensive assessment about the robustness and efficiency of the proposed algorithm, the obtained optimization results are also compared with other widely used optimizers for constrained and engineering design problems. The comparisons are carried out using tabular, descriptive, and graphical presentations.
AB - In this paper, a metaheuristic optimizer, the multi-objective water cycle algorithm (MOWCA), is presented for solving constrained multi-objective problems. The MOWCA is based on emulation of the water cycle process in nature. In this study, a set of non-dominated solutions obtained by the proposed algorithm is kept in an archive to be used to display the exploratory capability of the MOWCA as compared to other efficient methods in the literature. Moreover, to make a comprehensive assessment about the robustness and efficiency of the proposed algorithm, the obtained optimization results are also compared with other widely used optimizers for constrained and engineering design problems. The comparisons are carried out using tabular, descriptive, and graphical presentations.
KW - Benchmark function
KW - Constrained optimization
KW - Metaheuristics
KW - Multi-objective optimization
KW - Pareto optimal solutions
KW - Water cycle algorithm
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U2 - 10.1016/j.asoc.2014.10.042
DO - 10.1016/j.asoc.2014.10.042
M3 - Article
AN - SCOPUS:84917740857
VL - 27
SP - 279
EP - 298
JO - Applied Soft Computing
JF - Applied Soft Computing
SN - 1568-4946
ER -