Memetic Algorithm with Population Management (MA|PM) for Multi-objective Network Design.

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dc.contributor.authorOladele, R.O.
dc.contributor.authorOladele, O.T.
dc.date.accessioned2019-04-05T12:33:26Z
dc.date.available2019-04-05T12:33:26Z
dc.date.issued2014
dc.description.abstractA Memetic Algorithm with Population Management (MA|PM) is employed to solve Multi-objective Network Design Problem. The algorithm was tested with three randomly generated networks of varying sizes. Results obtained were compared with the results obtained when MA was used. Overall, it was observed that MA|PM outperformed MA in terms of efficiency (computation time) for the three test problems. In addition, the results’ quality of MA|PM is superior to that of MA for 10-node network problem while it is inferior to that of MA for 36-node network problem. The results’ qualities of MA|PM and MA rank the same for 21-node network problem. The implication of these results is that MA|PM is always more efficient that MA regardless of problem size. However, the impact of population management on the effectiveness of MA is inversely proportional to the size of the problem.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/1712
dc.language.isoenen_US
dc.publisherThe Computer Chapter of the Institute of Electrical & Electronics Engineers (IEEE), Nigeria.en_US
dc.subjectMemetic Algorithm,en_US
dc.subjectPopulation Managementen_US
dc.subjectEfficiencyen_US
dc.titleMemetic Algorithm with Population Management (MA|PM) for Multi-objective Network Design.en_US
dc.typeArticleen_US

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