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ACROA: Artificial Chemical Reaction Optimization Algorithm for global optimization

Authors :
Alatas, Bilal
Source :
Expert Systems with Applications. Sep2011, Vol. 38 Issue 10, p13170-13180. 11p.
Publication Year :
2011

Abstract

Abstract: Heuristic based computational algorithms are densely being used in many different fields due to their advantages. When investigated carefully, chemical reactions possess efficient objects, states, process, and events that can be designed as a computational method en bloc. In this study, a novel computational method, which is more robust and have less parameters than that of used in the literature, is intended to be developed inspiring from types and occurring of chemical reactions. The proposed method is named as Artificial Chemical Reaction Optimization Algorithm, ACROA. Applications to multiple-sequence alignment, data mining, and benchmark functions have been performed so as to put forward the performance of developed computational method. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
09574174
Volume :
38
Issue :
10
Database :
Academic Search Index
Journal :
Expert Systems with Applications
Publication Type :
Academic Journal
Accession number :
61173683
Full Text :
https://doi.org/10.1016/j.eswa.2011.04.126