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- MakaleYalnız künye2012Scopus SJRQ1A novel chemistry based metaheuristic optimization method for mining of classification rules
Alatas, Bilal
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 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. In this study, one of the first applications of this method has been performed in classification rule discovery field of data mining and efficiency has been demonstrated. (C) 2012 Elsevier Ltd. All rights reserved.
AtıfWoS59OpenAlex75
İncele - MakaleYalnız künye2011Scopus SJRQ1ACROA: Artificial Chemical Reaction Optimization Algorithm for global optimization
Alatas, Bilal
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. (C) 2011 Elsevier Ltd. All rights reserved.
AtıfWoS340OpenAlex420İncele