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Titlebook: Genetic and Evolutionary Computing; Proceedings of the T Jeng-Shyang Pan,Jerry Chun-Wei Lin,Xin Hua Jiang Conference proceedings 2017 Sprin

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書目名稱Genetic and Evolutionary Computing
副標(biāo)題Proceedings of the T
編輯Jeng-Shyang Pan,Jerry Chun-Wei Lin,Xin Hua Jiang
視頻videohttp://file.papertrans.cn/383/382660/382660.mp4
概述Highlights the latest research on genetic and evolutionary computing.Includes Volume 1 of the Proceedings of the Tenth International Conference on Genetic and Evolutionary Computing, held from Novembe
叢書名稱Advances in Intelligent Systems and Computing
圖書封面Titlebook: Genetic and Evolutionary Computing; Proceedings of the T Jeng-Shyang Pan,Jerry Chun-Wei Lin,Xin Hua Jiang Conference proceedings 2017 Sprin
描述. .This book gathers papers presented at the 10th International Conference on Genetic and Evolutionary Computing (ICGEC 2016). The conference was co-sponsored by Springer, Fujian University of Technology in China, the University of Computer Studies in Yangon, University of Miyazaki in Japan, National Kaohsiung University of Applied Sciences in Taiwan, Taiwan Association for Web Intelligence Consortium, and VSB-Technical University of Ostrava, Czech Republic. The ICGEC 2016, which was held from November 7 to 9, 2016 in Fuzhou City, China, was intended as an international forum for researchers and professionals in all areas of genetic and evolutionary computing...
出版日期Conference proceedings 2017
關(guān)鍵詞Computational Intelligence; Evolutionary Computing; Genetic Algorithms; Intelligent Computing; ICGEC 201
版次1
doihttps://doi.org/10.1007/978-3-319-48490-7
isbn_softcover978-3-319-48489-1
isbn_ebook978-3-319-48490-7Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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Demokratie und das südliche Afrikach can be divided into two kinds, the traffic flow factor and the safety factor. Analyze these factors to judge the performance of the keep-right-except-to-pass rule in light and heavy traffic. Draw the curve about time and other factors, let time be the intermediate variable, by using the figure co
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pendent variable was relatively small. In this paper, Fitting curve is formulated to a constrained linear programming. a neural dynamics optimization algorithm is obtained by considering the problem in its dual space, and then the dynamic neural network is designed to solve the optimization problem
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