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Titlebook: Mendel 2015; Recent Advances in S Radek Matoušek Conference proceedings 2015 Springer International Publishing Switzerland 2015 Artificial

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书目名称Mendel 2015
副标题Recent Advances in S
编辑Radek Matoušek
视频video
概述Presents latest research and recent advances in Soft Computing.Results of the 21th International Conference on Soft Computing, held at June 23-25 in Brno, Czech Republic.Includes recent research in ap
丛书名称Advances in Intelligent Systems and Computing
图书封面Titlebook: Mendel 2015; Recent Advances in S Radek Matoušek Conference proceedings 2015 Springer International Publishing Switzerland 2015 Artificial
描述.This book is a collection of selected accepted papers of Mendel conference that has been held in Brno, Czech Republic in June 2015. The book contents three chapters which represent recent advances in soft computing including intelligent image processing and bio-inspired robotics.: Chapter 1: .Evolutionary Computing, and Swarm intelligence., Chapter 2: .Neural Networks, Self-organization, and Machine Learning., and Chapter3: .Intelligent Image Processing, and Bio-inspired Robotics.. The Mendel conference was established in 1995, and it carries the name of the scientist and Augustinian priest Gregor J. Mendel who discovered the famous Laws of Heredity. In 2015 we are commemorating 150 years since Mendel‘s lectures, which he presented in Brno on February and March 1865. The main aim of the conference was to create a periodical possibility for students, academics and researchers to exchange their ideas and novel research methods.. .
出版日期Conference proceedings 2015
关键词Artificial Intelligence; Bayesian Methods; Computational Intelligence; Evolutionary Computation; Fractal
版次1
doihttps://doi.org/10.1007/978-3-319-19824-8
isbn_softcover978-3-319-19823-1
isbn_ebook978-3-319-19824-8Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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Iztok Fister Jr.,Aleksandra Tepeh,Janez Brest,Iztok Fister
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Limited Randomness Evolutionary Strategy Algorithmso interesting from practical viewpoint, because the application of . function is slower than standard . function of C and C++ language, but it points that evolutionary algorithms do not require randomness as the source of its capabilities.
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A Switched Parameter Differential Evolution for Large Scale Global Optimization – Simpler May Be Bettion). The population member is subjected to that mutation strategy which was responsible for the last successful update at the same population index under consideration. Our experiments based on the benchmark functions proposed for the competitions on large-scale global optimization with bound cons
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