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Chaos Driven Evolutionary Algorithm: a Novel Approach for Optimization
Author(s) -
Roman Šenkeřík,
Michal Pluháček,
Zuzana Komínková Oplatková
Publication year - 2022
Publication title -
international journal of systems applications, engineering and development
Language(s) - English
Resource type - Journals
ISSN - 2074-1308
DOI - 10.46300/91015.2022.16.4
Subject(s) - chaotic , benchmark (surveying) , chaos (operating system) , differential evolution , algorithm , embedding , dissipative system , evolutionary algorithm , mathematics , computer science , standard map , control of chaos , mathematical optimization , synchronization of chaos , control theory (sociology) , artificial intelligence , physics , control (management) , computer security , geodesy , quantum mechanics , geography
This research deals with the initial investigations on the concept of a chaos-driven evolutionary algorithm Differential evolution. This paper is aimed at the embedding of simple two-dimensional chaotic system, which is Lozi map, in the form of chaos pseudo random number generator for Differential Evolution. The chaotic system of interest is the discrete dissipative system. Repeated simulations were performed on standard benchmark Schwefel’s test function in higher dimensions. Finally, the obtained results are compared with canonical Differential Evolution.

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