dc.contributor.author |
Acan, Adnan |
|
dc.contributor.author |
Ünveren, Ahmet |
|
dc.date.accessioned |
2015-12-01T13:04:15Z |
|
dc.date.available |
2015-12-01T13:04:15Z |
|
dc.date.issued |
2014 |
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dc.identifier.citation |
"A two-stage memory powered Great Deluge algorithm for global optimization", Adnan Acan and Ahmet Ünveren, Soft Computing, DOI 10.1007/s00500-014-1423-5, Springer-Verlag Berlin Heidelberg 2014 |
en_US |
dc.identifier.issn |
Print ISSN: 1432-7643 |
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dc.identifier.issn |
Online ISSN: 1433-7479 |
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dc.identifier.uri |
http://hdl.handle.net/11129/1888 |
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dc.identifier.uri |
http://dx.doi.org/10.1007/s00500-014-1423-5 |
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dc.description |
Due to copyright restrictions, the access to the publisher version (published version) of this article is only available via subscription. You may click URI (with DOI: 10.1007/s00500-014-1423-5) and have access to the Publisher Version of this article through the publisher web site or online databases, if your Library or institution has subscription to the related journal or publication. |
en_US |
dc.description.abstract |
A two-stage memory architecture and search operators exploiting the accumulated experience in memory are maintained within the framework of a Great DeLuge algorithm for real-valued global optimization. The level-based acceptance criterion of the Great DeLuge algorithm is applied for each best solution extracted in a particular iteration. The use of memory-based search supported by effective move operators results in a powerful optimization algorithm. The success of the presented approach is illustrated using three sets of well-known benchmark functions including problems of varying sizes and difficulties. Performance of the presented approach is evaluated and in comparison to well-known algorithms and their published results. Except for a few large-scale optimization problems, experimental evaluations demonstrated that the presented approach performs at least as good as its competitors. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Springer Berlin Heidelberg |
en_US |
dc.subject |
Computational Intelligence |
en_US |
dc.subject |
Artificial Intelligence (incl. Robotics) |
en_US |
dc.subject |
Mathematical Logic and Foundations |
en_US |
dc.subject |
Control, Robotics, Mechatronics |
en_US |
dc.subject |
Metaheuristics |
en_US |
dc.subject |
Great Deluge algorithm |
en_US |
dc.subject |
Memory-based search |
en_US |
dc.subject |
Global optimization |
en_US |
dc.title |
A two-stage memory powered Great Deluge algorithm for global optimization |
en_US |
dc.type |
Article |
en_US |
dc.description.version |
Publisher Version(Published Version). |
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