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<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>Population size reduction for the differential evolution algorithm</dc:title><dc:creator>Brest,	Janez	(Avtor)
	</dc:creator><dc:creator>Sepesy Maučec,	Mirjam	(Avtor)
	</dc:creator><dc:subject>differential evolution</dc:subject><dc:subject>control parameter</dc:subject><dc:subject>fitness function</dc:subject><dc:subject>global function optimization</dc:subject><dc:subject>self-adaptation</dc:subject><dc:subject>population size</dc:subject><dc:description>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.</dc:description><dc:date>2008</dc:date><dc:date>2012-06-01 10:56:52</dc:date><dc:type>Neznano</dc:type><dc:identifier>27391</dc:identifier><dc:identifier>UDK: 004.8</dc:identifier><dc:identifier>COBISS_ID: 11642646</dc:identifier><dc:identifier>ISSN pri članku: 0924-669X</dc:identifier><dc:identifier>NUK URN: URN:SI:UM:DK:RPL9QBBL</dc:identifier><dc:language>sl</dc:language></metadata>
