Performance Testing of Multi-Chaotic Differential Evolution Concept on Shifted Benchmark Functions
作者： Roman Senkerik , Michal Pluhacek , Donald Davendra , Ivan Zelinka , Zuzana Kominkova Oplatkova
DOI: 10.1007/978-3-319-07617-1_28
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摘要: This research deals with the hybridization of two softcomputing fields, which are chaos theory and evolutionary computation. paper aims on investigations multi-chaos-driven algorithm Differential Evolution (DE) concept. is aimed at embedding alternating set discrete dissipative chaotic systems in form pseudo random number generators for DE. In this novel initial concept DE/rand/1/bin strategy driven alternately by maps (systems) introduced. From previous research, it follows that very promising results were obtained through utilization different maps, have unique properties connection to The idea then connect these influences performance DE into one multi-chaotic Repeated simulations performed selected shifted benchmark functions higher dimensions. Finally, compared canonical
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