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Title: Conceptual comparison of population based metaheuristics for engineering problems
Authors: Adekanmbi, Oluwole 
Green, Paul 
Issue Date: 2015
Publisher: Hindawi Publsihing Corporation
Source: Adekanmbi, O. and Green, P. 2015. Conceptual comparison of population based metaheuristics for engineering problems.The Scientific World Journal. 2015, Article ID 936106, 9 pages. doi:10.1155/2015/936106
Journal: The scientific world journal (Print) 
Metaheuristic algorithms are well-known optimization tools which have been employed for solving a wide range of optimization problems. Several extensions of differential evolution have been adopted in solving constrained and nonconstrained multiobjective optimization problems, but in this study, the third version of generalized differential evolution (GDE) is used for solving practical engineering problems. GDE3 metaheuristic modifies the selection process of the basic differential evolution and extends DE/rand/1/bin strategy in solving practical applications. The performance of the metaheuristic is investigated through engineering design optimization problems and the results are reported. The comparison of the numerical results with those of other metaheuris-tic techniques demonstrates the promising performance of the algorithm as a robust optimization tool for practical purposes.
ISSN: 2356-6140
DOI: 10.1155/2015/936106
Appears in Collections:Research Publications (Accounting and Informatics)

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