Multiobjective adaptive current search for engineering design optimization

Main Article Content

Supaporn Suwannarongsri
Deacha Puangdownreong

Abstract

This article proposes a multiobjective adaptive current search (MoACS) as a powerful metaheuristic optimization technique for solving multiobjective optimization problems. MoACS is a newly modified version of the current search (CS) developed from the behavior of current in an electrical network. In this study, the MoACS is developed and validated against three standard multiobjective test functions. Results obtained from the MoACS are compared with those obtained by five well-known algorithms from the literature. Then, the MoACS is applied to the design of two real-world multiobjective engineering optimization problems, i.e., welded beam design and disc brake design. It was found that MoACS provided very satisfactory solutions and had quite smooth Pareto fronts for all of the problems.

Article Details

How to Cite
Suwannarongsri, S., & Puangdownreong, D. (2017). Multiobjective adaptive current search for engineering design optimization. Engineering and Applied Science Research, 44(1), 34–38. Retrieved from https://ph01.tci-thaijo.org/index.php/easr/article/view/63870
Section
ORIGINAL RESEARCH
Author Biography

Deacha Puangdownreong, Department of Electrical Engineering, Graduate School, Southeast Asia University, Bangkok 10160, Thailand

Received his the B.Eng. degree in electrical engineering from Southeast Asia University (SAU), Bangkok, Thailand, in 1993, M.Eng. degree in control engineering from King Mongkut's Institute of Technology Ladkrabang (KMITL), Bangkok, Thailand, in 1996, and Ph.D. degree in electrical engineering from Suranaree University of Technology (SUT), Nakhon Ratchasima, Thailand, in 2005, respectively.

An associated professor of electrical engineering of Southeast Asia University (SAU), Bangkok, Thailand.

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