Towards adaptive hybrid optimization technique

Joint Authors

Ilayyan, Marwah
Hudayb, Amjad

Source

International Computer Sciences and Informatics Conference, Amman, Jordan 12-13 January 2016.

Publisher

Amman Arab University

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