Multi-objective sine-cosine algorithm (MO-SCA) for multi-objective engineering design problems |
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Authors: | Tawhid Mohamed A. Savsani Vimal |
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Affiliation: | 1.Department of Mathematics and Statistics, Faculty of Science, Thompson Rivers University, Kamloops, BC, V2C 0C8, Canada ;2.Department of Mathematics and Computer Science, Faculty of Science, Alexandria University, Moharam Bey, Alexandria, Egypt ;3.Department of Mechanical Engineering, Pandit Deendayal Petroleum University, Gandhinagar, Gujarat, India ; |
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Abstract: | This paper proposes a novel and an effective multi-objective optimization algorithm named multi-objective sine-cosine algorithm (MO-SCA) which is based on the search technique of sine-cosine algorithm (SCA). MO-SCA employs the elitist non-dominated sorting and crowding distance approach for obtaining different non-domination levels and to preserve the diversity among the optimal set of solutions, respectively. The effectiveness of the method is measured by implementing it on multi-objective benchmark problems that have various characteristics of Pareto front such as convex, non-convex and discrete. This proposed algorithm is also checked for the multi-objective engineering design problems with distinctive features. Furthermore, we show the proposed algorithm effectively generates the Pareto front and is easy to implement and algorithmically simple. |
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