Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/14909

TitleModified differential evolution based on global competitive ranking for engineering design optimization problems
Author(s)Azad, Md. Abul Kalam
Fernandes, Edite Manuela da G. P.
KeywordsEngineering design
Constraints handling
Ranking
Differential evolution
Global optimization
Issue dateJun-2011
PublisherSpringer Verlag
JournalLecture Notes in Computer Science
Abstract(s)Engineering design optimization problems are formulated as large-scale mathematical programming problems with nonlinear objective function and constraints. Global optimization finds a solution while satisfying the constraints. Differential evolution is a population-based heuristic approach that is shown to be very efficient to solve global optimization problems with simple bounds. In this paper, we propose a modified differential evolution introducing self-adaptive control parameters, modified mutation, inversion operation and modified selection for obtaining global optimization. To handle constraints effectively, in modified selection we incorporate global competitive ranking which strikes the right balance between the objective function and the constraint violation. Sixteen well-known engineering design optimization problems are considered and the results compared with other solution methods. It is shown that our method is competitive when solving these problems.
TypeConference paper
URIhttp://hdl.handle.net/1822/14909
ISBN978-3-642-21930-6
DOI10.1007/978-3-642-21931-3_20
ISSN0302-9743
Peer-Reviewedyes
AccessOpen access
Appears in Collections:LES/ALG - Textos completos em actas de encontros científicos internacionais com arbitragem

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