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Title:Population size reduction for the differential evolution algorithm
Authors:Brest, Janez (Author)
Sepesy Maučec, Mirjam (Author)
Files:URL http://www.springerlink.com/content/k173214714252683/fulltext.pdf
Work type:Unknown ()
Typology:1.01 - Original Scientific Article
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:This paper studies the efficiency of a recently defined population-based direct global optimization method called Differential Evolution with self-adaptive control parameters. The original version uses fixed population size but a method for gradually reducing population size is proposed in this paper. It improves the efficiency and robustness of the algorithm and can be applied to any variant of a Differential Evolution algorithm. The proposed modification is tested on commonly used benchmark problems for unconstrained optimization and compared with other optimization methods such as Evolutionary Algorithms and Evolution Strategies.
Keywords:differential evolution, control parameter, fitness function, global function optimization, self-adaptation, population size
Year of publishing:2008
ISSN on article:0924-669X
COBISS_ID:11642646 Link is opened in a new window
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Record is a part of a journal

Title:Applied intelligence
Shortened title:Appl. intell.
Publisher:Kluwer Academic Publishers
COBISS.SI-ID:2822183 New window

Secondary language

Keywords:diferencialna evolucija, evolucijski algoritmi, optimizacijske metode, umetna inteligenca


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