Abstract: To date, Multi-Objective Optimization (MOO) has been viewed in terms of both exploration and exploitation of the solution search area. Accordingly, the main contribution of this paper relies ...
Abstract: In this paper, a new genetic algorithm for solving multi-constrained optimization problems based on KS function is proposed. Firstly, utilizing the agglomeration features of KS function, all ...
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