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Simulating the Effect of Adaptivity on Randomization

Adam Viktorin
Faculty of Applied Informatics, Tomas Bata University in Zlin, T. G. Masaryka 5555, 760 01 Zlin, Czech Republic

Roman Senkerik
Faculty of Applied Informatics, Tomas Bata University in Zlin, T. G. Masaryka 5555, 760 01 Zlin, Czech Republic

Michal Pluhacek
Faculty of Applied Informatics, Tomas Bata University in Zlin, T. G. Masaryka 5555, 760 01 Zlin, Czech Republic

Ladda ner artikelhttp://dx.doi.org/10.3384/ecp17142525

Ingår i: Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Linköping Electronic Conference Proceedings 142:76, s. 525-532

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Publicerad: 2018-12-19

ISBN: 978-91-7685-399-3

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

This paper compares the development of multi-chaotic system during the optimization process on three classical benchmark functions – Rosenbrock, Rastrigin and Ackley. The multi-chaotic system involves five different randomizations based on discrete chaotic maps (Burgers, Delayed Logistic, Dissipative, Lozi and Tinkerbell) and the probability of their selection is adjusted according to the development of the optimization task. Two variants of Differential Evolution (DE) are used in order to simulate the effect of adaptivity on the randomization probability adjustment process. First non-adaptive variant is DE with rand/1 mutation strategy and the second adaptive variant is novel Success-History based Adaptive DE (SHADE).

Nyckelord

randomization, differential evolution, SHADE, chaos, parent selection

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