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Cluster restarted differential migration

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dc.title Cluster restarted differential migration en Dlapa, Marek
dc.relation.ispartof IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - FOCI 2014: 2014 IEEE Symposium on Foundations of Computational Intelligence, Proceedings
dc.identifier.isbn 9781479944927 2015
dc.citation.spage 151
dc.citation.epage 159
dc.event.title 2014 IEEE Symposium on Foundations of Computational Intelligence, FOCI 2014
dc.event.location Orlando, FL
utb.event.state-en United States
utb.event.state-cs Spojené státy americké
dc.event.sdate 2014-12-09
dc.event.edate 2014-12-12
dc.type conferenceObject
dc.language.iso en
dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
dc.identifier.doi 10.1109/FOCI.2014.7007820
dc.subject evolutionary computation en
dc.subject IPOP-CMA-ES en
dc.subject memetic algorithms en
dc.subject SOMA en
dc.subject swarm intelligence en
dc.description.abstract The paper deals with a new evolutionary algorithm - Differential Migration, and provides comparison with other algorithms of this type. Cluster Restarted Differential Migration is examined with standard benchmark test functions for performance comparison. Standard Differential Migration and Restart Covariance Matrix Adaptation Evolution Strategy With Increasing Population Size (IPOP-CMA-ES) are used as reference and the results are compared with Cluster Restarted Differential Migration. The main feature of the algorithm is the fact that it is a generalization of SOMA (Self-Organizing Migration Algorithm) giving a general scheme incorporating both strategies of SOMA, i.e. all-to-one and all-to-all, into one general algorithm using clusters and a parameter specifying the measure of trade-off between all-to-one and all-to-all strategy. Besides this, some principles from Differential Evolution are adopted implying higher speed of search than SOMA for most of benchmarks and real-world applications. In this paper, Cluster Restarted Differential Migration is presented providing some new features compared to its standard form. en
utb.faculty Faculty of Applied Informatics
utb.identifier.obdid 43872334
utb.identifier.scopus 2-s2.0-84922978452
utb.identifier.wok 000380480600021
utb.source d-scopus 2015-04-13T14:07:00Z 2015-04-13T14:07:00Z
utb.contributor.internalauthor Dlapa, Marek
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