Abstract
This study presents the results of comparison of the four strategies of multiobjective differential evolution algorithm (MDEA) namely, MDEA1, MDEA2, MDEA3 and MDEA4 in solving five test problems and an engineering design problem. The test problems are ZDT1, ZDT2, ZDT3, ZDT4 and ZDT6. MDEA is a multiobjective algorithm developed from differential evolution, which is an evolutionary algorithm, to solve multiobjective optimization problems. The strategies were also compared with the results obtained from two other similar algorithms: NSGAII and DEMO. It was found that strategies of MDEA named MDEA1 and MDEA2 with binomial crossover method outperformed other two strategies named MDEA3 and MDEA4 with exponential crossover method in solving ZDT1 and ZDT4 while MDEA3 and MDEA4 outperformed MDEA1 and MDEA2 in solving ZDT2 and ZDT6. All the strategies performed equally in solving the engineering design problem presented. It was concluded that the strategies of MDEA are comparable/better than similar algorithms presented in solving the test problems and the engineering design problem. Key words: Multiobjective differential evolution algorithm (MDEA), multiobjective, evolutionary algorithm, differential evolution.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
