Evaluation of combined Pareto multiobjective differential evolution on tuneable problems
Olofintoye, Oluwatosin Onaopemipo
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Many optimization problems in engineering involve the satisfaction of multiple objectives within the limits of certain constraints. Methods of evolutionary multi-objective algorithms (EMOAs) have been proposed and applied to solve such problems. Recently, a c om bined Pareto multi-objective differential evolution (CPMDE) algorithm was proposed. The algorithm combines Pareto selection procedures for multi-objective differential evolution to implement a novel selection scheme. The ability of CPMDE in solving unconstrained, constrained and real optimization problems was demonstrated and competitive results obtained from the application of CPMDE suggest that it is a good alternative for solving multi-objective optimization problems. In this work, CPMDE is further tested using tuneable multi-objective test problems and applied to solve a real world engineering design problem. Results obtained herein further corroborate the efficacy of CPMDE in multi-objective optimization.
Adeyemo, J. A. and Olofintoye, O. O. 2014. Evaluation of combined Pareto multiobjective differential evolution on tuneable problems. International Journal of Simulation Modelling. 13 (3) : 276-287