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On measures of search features
Mälardalen University, School of Innovation, Design and Engineering.
1999 (English)In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, Vol. 1609, 657-664 p.Article in journal (Refereed) Published
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Text
Abstract [en]

- This paper describes several measures that can be useful when analyzing features of search in genetic algorithms. Results obtained by different researchers are often hard to compare and it is often difficult to draw general conclusions from them. This means that non-experienced users of genetic algorithms have little help in constructing their own effective solutions for a particular problem. The article contains a suggestion about possible ways of investigating features of search in genetic algorithms. These features are defined together with descriptions how to measure them. © Springer-Verlag Berlin Heidelberg 1999.

Place, publisher, year, edition, pages
1999. Vol. 1609, 657-664 p.
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Computer and Information Science
Identifiers
URN: urn:nbn:se:mdh:diva-31200DOI: 10.1007/BFb0095155Scopus ID: 2-s2.0-84957697365OAI: oai:DiVA.org:mdh-31200DiVA: diva2:906813
Available from: 2016-02-25 Created: 2016-02-25 Last updated: 2016-02-25Bibliographically approved

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