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Author Senkerik, Roman ♦ Pluhacek, Michal ♦ Jasek, Roman ♦ Zelinka, Ivan
Source United States Department of Energy Office of Scientific and Technical Information
Content type Text
Language English
Subject Keyword CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS ♦ ALGORITHMS ♦ BENCHMARKS ♦ CHAOS THEORY ♦ COMPARATIVE EVALUATIONS ♦ COMPUTER CODES ♦ EVOLUTION ♦ OPTIMIZATION ♦ PERFORMANCE ♦ RANDOMNESS ♦ SIMULATION
Abstract This research deals with the comparison of the two modern approaches for evolutionary algorithms, which are the adaptivity and complex chaotic dynamics. This paper aims on the investigations on the chaos-driven Differential Evolution (DE) concept. This paper is aimed at the embedding of discrete dissipative chaotic systems in the form of chaotic pseudo random number generators for the DE and comparing the influence to the performance with the state of the art adaptive representative jDE. This research is focused mainly on the possible disadvantages and advantages of both compared approaches. Repeated simulations for Lozi map driving chaotic systems were performed on the simple benchmark functions set, which are more close to the real optimization problems. Obtained results are compared with the canonical not-chaotic and not adaptive DE. Results show that with used simple test functions, the performance of ChaosDE is better in the most cases than jDE and Canonical DE, furthermore due to the unique sequencing in CPRNG given by the hidden chaotic dynamics, thus better and faster selection of unique individuals from population, ChaosDE is faster.
ISSN 0094243X
Educational Use Research
Learning Resource Type Article
Publisher Date 2016-06-08
Publisher Place United States
Volume Number 1738
Issue Number 1


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