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Titlebook: Nature-Inspired Computation in Engineering; Xin-She Yang Book 2016 Springer International Publishing Switzerland 2016 Bat Algorithm.Bio-in

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發(fā)表于 2025-3-21 20:07:48 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Nature-Inspired Computation in Engineering
編輯Xin-She Yang
視頻videohttp://file.papertrans.cn/663/662068/662068.mp4
概述Provides a timely review and summary of the latest.developments of nature-inspired computation and their diverse applications in.Reviews both theoretical studies and applications.Focuses on diverse ap
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Nature-Inspired Computation in Engineering;  Xin-She Yang Book 2016 Springer International Publishing Switzerland 2016 Bat Algorithm.Bio-in
描述.This timely review book summarizes thestate-of-the-art developments in nature-inspired optimization algorithms andtheir applications in engineering. Algorithms and topics include the overviewand history of nature-inspired algorithms, discrete firefly algorithm, discretecuckoo search, plant propagation algorithm, parameter-free bat algorithm,gravitational search, biogeography-based algorithm, differential evolution,particle swarm optimization and others. Applications include vehicle routing,swarming robots, discrete and combinatorial optimization, clustering ofwireless sensor networks, cell formation, economic load dispatch, metamodeling,surrogated-assisted cooperative co-evolution, data fitting and reverseengineering as well as other case studies in engineering. This book will be anideal reference for researchers, lecturers, graduates and engineers who areinterested in nature-inspired computation, artificial intelligence andcomputational intelligence. It can also serveas a reference for relevantcourses in computer science, artificial intelligence and machine learning, naturalcomputation, engineering optimization and data mining...?.
出版日期Book 2016
關(guān)鍵詞Bat Algorithm; Bio-inspired Computation; Computational Intelligence; Nature-inspired Computation; Swarm
版次1
doihttps://doi.org/10.1007/978-3-319-30235-5
isbn_softcover978-3-319-80757-7
isbn_ebook978-3-319-30235-5Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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earchers who investigate metal oxides nanomaterials synthesis and gas sensing with relevant frontier theories and concepts. Engineers working on research and development for semiconductor gas sensors will also find new ideas in sensor design.?.978-981-13-5853-1
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Eneko Osaba,Roberto Carballedo,Xin-She Yang,Fernando Diazs on gas sensing characteristics are illustrated by the hypothesis of gas–solid interface site regulation. Finally, this chapter puts forward forecast for further research on improving the gas adsorption and diffusion dynamics and designing high-performance MOS-based gas sensors.
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Birsen ?. Selamo?lu,Abdellah Salhis on gas sensing characteristics are illustrated by the hypothesis of gas–solid interface site regulation. Finally, this chapter puts forward forecast for further research on improving the gas adsorption and diffusion dynamics and designing high-performance MOS-based gas sensors.
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