Generalized net model of Artificial Bee Colony optimization algorithm
Conference: ANNA '18 - Advances in Neural Networks and Applications 2018
09/15/2018 - 09/17/2018 at St. St. Konstantin and Elena Resort, Bulgaria
Proceedings: ANNA '18
Pages: 6Language: englishTyp: PDF
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Authors:
Zoteva, Dafina (Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Bulgaria & Department of Computer Informatics, Faculty of Mathematics and Informatics, Sofia University “St. Kliment Ohridski”, Bulgaria)
Atanassova, Vassia; Roeva, Olympia (Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Bulgaria)
Szmidt, Eulalia (Systems Research Institute, Polish Academy of Sciences, Poland)
Abstract:
In this paper, a detailed description of the logic of the Artificial Bee Colony (ABC) algorithm within a Generalized Net (GN) model is presented. GNs can be considered as an effective and appropriate tool for illustrating the logics of different optimization techniques. The developed GN-model consists of 7 transitions and 31 places and mimics the optimization processes based on bees’ behaviour. As a result, the proposed GN-model executes the metaheuristic algorithm’s procedures performing basic steps and realized optimal search.