Evaluation of Combined Pareto Multiobjective Differential Evolution on Tuneable Problems
Josiah Adetayo Adeyemo, Oluwatosin Olofintoye · International Journal of Simulation Modelling · 2014
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 combined 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.