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Titlebook: Evolutionary Algorithms and Chaotic Systems; Ivan Zelinka,Sergej Celikovsky,Guanrong Chen Book 2010 Springer-Verlag Berlin Heidelberg 2010

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Evolutionary Decryption of Chaotically Encrypted Informationization here: differential evolution, self-organizing migrating algorithm, genetic algorithm, simulated annealing and evolutionary strategies in a total of 15 versions. The main aim was to ascertain if evolutionary algorithms are able to identify the “key” (control parameter) of the chaotic system,
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Evolutionary Synchronization of Chaotic Systemsalgorithms has been used for chaos synchronization here: differential evolution, self-organizing migrating algorithm, genetic algorithm, simulated annealing and evolutionary strategies in a total of 15 versions. Experiments in this chapter has been done with two different coupled systems (master — s
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Chaotic Attributes and Permutative Optimization population is developed, which is used to induce and retain diversity in a metaheuristic population. Simulation is done with Genetic Algorithm, Differential Evolution and Self-Organizing Migrating Algorithm on the combinatorial problem of Quadratic Assignment with promising results.
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Frontierse previous chapters, this research is very promising. In this chapter, we would like to offer a few exciting and realistic ideas and opinions for possible future directions of research and development on chaos and evolutionary techniques.
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https://doi.org/10.1007/978-3-658-03219-7he parameters of selected evolutionary algorithms. Investigation consists of four different case studies with increasing simulation complexity. For all algorithms each simulation was evaluated 100 times in order to show and check robustness of used methods. All data were processed and used in order
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1860-949X tionary algorithms will find this book a very useful tool and starting point. And finally, this book can be viewed as a resource handbook and material for practitioners who want to apply these methods that solve practical problems to their challenging applications.978-3-642-26255-5978-3-642-10707-8Series ISSN 1860-949X Series E-ISSN 1860-9503
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