Journal article

SNÁŠELOVÁ Petra and ZBOŘIL František V.. Genetic Algorithm using Theory of Chaos. Procedia Computer Science. 2015, vol. 2015, no. 51, pp. 316-325. ISSN 1877-0509.
Publication language:english
Original title:Genetic Algorithm using Theory of Chaos
Title (cs):Genetický algoritmus využívající teorii chaosu
Journal:Procedia Computer Science, Vol. 2015, No. 51, CZ
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optimization, genetic algorithm, chaos
This paper is focused on genetic algorithm with chaotic crossover operator. We have performed some experiments to study possible use of chaos in simulated evolution. A novel genetic algorithm with chaotic optimization operation is proposed to optimization of multimodal functions. As the basis of a new crossing operator a simple equation involving chaos is used, concrete the logistic function. The logistic function is a simple one-parameter function of the second order that shows a chaotic behavior for some values of the parameter. Generally, solution of the logistic function has three areas of its behavior: convergent, periodic and chaotic. We have supposed that the convergent behavior leads to exploitation and the chaotic behavior aids to exploration. The periodic behavior is probably neutral and thus it is a negligible one. Results of our experiments conrm these expectations. A proposed genetic algorithm with chaotic crossover operator leads to a more ecient computation in comparison with the traditional genetic algorithm.
   author = {Petra Sn{\'{a}}{\v{s}}elov{\'{a}} and V. Franti{\v{s}}ek
   title = {Genetic Algorithm using Theory of Chaos},
   pages = {316--325},
   journal = {Procedia Computer Science},
   volume = {2015},
   number = {51},
   year = {2015},
   ISSN = {1877-0509},
   language = {english},
   url = {}

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