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.
