Adeyemo, JosiahOlofintoye, Oluwatosin Onaopemipo2015-06-252015-06-252014Adeyemo, J. A. and Olofintoye, O. O. 2014. Evaluation of combined Pareto multiobjective differential evolution on tuneable problems. International Journal of Simulation Modelling. 13 (3) : 276-2871726-4529http://hdl.handle.net/10321/1293Many 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.12 penMulti-objective OptimizationConstraintsDifferential EvolutionTuneable Test BedsEvolutionary AlgorithmsArticle10.2507/IJSIMM13(3)2.264