Please use this identifier to cite or link to this item:
Title: Evaluation of combined Pareto multiobjective differential evolution on tuneable problems
Authors: Adeyemo, Josiah 
Olofintoye, Oluwatosin Onaopemipo 
Keywords: Multi-objective Optimization;Constraints;Differential Evolution;Tuneable Test Beds;Evolutionary Algorithms
Issue Date: 2014
Publisher: SIMM
Source: 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
Journal: International journal of simulation modelling 
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.
ISSN: 1726-4529
DOI: 10.2507/IJSIMM13(3)2.264
Appears in Collections:Research Publications (Engineering and Built Environment)

Files in This Item:
File Description SizeFormat
text13-3_276-287.pdf953.56 kBAdobe PDFThumbnail
Show full item record

Page view(s)

checked on Jul 16, 2024


checked on Jul 16, 2024

Google ScholarTM




Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.