A multi-objective optimization method based on simplex search method
نویسندگان
چکیده
In this paper, a method based on Nelder and Mead’s simplex search method, is developed for solving multi-objective optimization problems. Unlike other multi-objective optimization algorithms based on classical methods, this method does not require any a priori knowledge about the problem. Moreover, it does not need any pre-defined weights or additional constraints as it works without scalarizing the multi-objective problem. The algorithm works with a population of points and is capable of generating a multitude of Pareto-optimal solutions. Equipped with the constraint handling strategy adopted in this work, the method is found to be competitive with respect to the existing algorithms. keywords: simplex search method;multi-objective optimization;Paretooptimal solutions.
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