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Towards adaptive hybrid optimization technique
Joint Authors
Source
International Computer Sciences and Informatics Conference, Amman, Jordan 12-13 January 2016.
Publisher
Publication Date
2016-01-31
Country of Publication
Jordan
No. of Pages
9
Main Subjects
Information Technology and Computer Science
English Abstract
Differential Evolution (DE) continuous optimization is one of the most important activities in heuristic optimization.
Enhancement on algorithms can be achieved using hybrid model by combining different search strategies.
The proposed algorithm combines both LSHDE with mutation of Invasive Weed Optimization (IWO) on parameter F.
the algorithm try to take the search process away from stagnation point using IWO distribution.
The proposed algorithm tested using benchmark functions of Congress on Evolutionary Computation (CEC) 2014 and it gives competitive results
Data Type
Conference Papers
Record ID
BIM-767328
American Psychological Association (APA)
Ilayyan, Marwah& Hudayb, Amjad. 2016-01-31. Towards adaptive hybrid optimization technique. . , pp.273-281.Amman Jordan : Amman Arab University.
https://search.emarefa.net/detail/BIM-767328
Modern Language Association (MLA)
Ilayyan, Marwah& Hudayb, Amjad. Towards adaptive hybrid optimization technique. . Amman Jordan : Amman Arab University. 2016-01-31.
https://search.emarefa.net/detail/BIM-767328
American Medical Association (AMA)
Ilayyan, Marwah& Hudayb, Amjad. Towards adaptive hybrid optimization technique. .
https://search.emarefa.net/detail/BIM-767328