Janez Brest (Author), Mirjam Sepesy Maučec (Author)

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

diferencialna evolucija;evolucijski algoritmi;optimizacijske metode;umetna inteligenca;differential evolution;control parameter;fitness function;global function optimization;self-adaptation;population size;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UM FERI - Faculty of Electrical Engineering and Computer Science
UDC: 004.8
COBISS: 11642646 Link will open in a new window
ISSN: 0924-669X
Views: 1656
Downloads: 113
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Other data

Secondary language: English
Secondary keywords: diferencialna evolucija;evolucijski algoritmi;optimizacijske metode;umetna inteligenca;
URN: URN:SI:UM:
Pages: str. 228-247
Volume: ǂVol. ǂ29
Issue: ǂno. ǂ3
Chronology: Dec. 2008
DOI: 10.1007/s10489-007-0091-x
ID: 8718584