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Titlebook: Nature-Inspired Computing and Optimization; Theory and Applicati Srikanta Patnaik,Xin-She Yang,Kazumi Nakamatsu Book 2017 Springer Internat

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發(fā)表于 2025-3-21 19:29:42 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Nature-Inspired Computing and Optimization
副標(biāo)題Theory and Applicati
編輯Srikanta Patnaik,Xin-She Yang,Kazumi Nakamatsu
視頻videohttp://file.papertrans.cn/663/662070/662070.mp4
概述Reports on cutting-edge research in nature-inspired computing and optimization.Presents a wealth of techniques together with their application to real-world problems.Includes theoretical analysis and
叢書(shū)名稱(chēng)Modeling and Optimization in Science and Technologies
圖書(shū)封面Titlebook: Nature-Inspired Computing and Optimization; Theory and Applicati Srikanta Patnaik,Xin-She Yang,Kazumi Nakamatsu Book 2017 Springer Internat
描述.The book provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application in optimization. The approach is mainly practice-oriented: each bio-inspired technique or algorithm is introduced together with one of its possible applications. Applications cover a wide range of real-world optimization problems: from feature selection and image enhancement to scheduling and dynamic resource management, from wireless sensor networks and wiring network diagnosis to sports training planning and gene expression, from topology control and morphological filters to nutritional meal design and antenna array design. There are a few theoretical chapters comparing different existing techniques, exploring the advantages of nature-inspired computing over other methods, and investigating the mixing time of genetic algorithms. The book also introduces a wide range of algorithms, including the ant colony optimization, the bat algorithm, genetic algorithms, the collision-based optimization algorithm, the flower pollination algorithm, multi-agent systems and particle swarm optimization. This timely book is intended as a practice-oriented reference guide
出版日期Book 2017
關(guān)鍵詞Antenna Array Design; Bio-Inspired Computing; Ant Colony Optimisation; Bat Algorithm; Classifier System;
版次1
doihttps://doi.org/10.1007/978-3-319-50920-4
isbn_softcover978-3-319-84522-7
isbn_ebook978-3-319-50920-4Series ISSN 2196-7326 Series E-ISSN 2196-7334
issn_series 2196-7326
copyrightSpringer International Publishing AG 2017
The information of publication is updating

書(shū)目名稱(chēng)Nature-Inspired Computing and Optimization影響因子(影響力)




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發(fā)表于 2025-3-21 23:32:06 | 只看該作者
978-3-319-84522-7Springer International Publishing AG 2017
板凳
發(fā)表于 2025-3-22 01:34:30 | 只看該作者
Nature-Inspired Computing and Optimization978-3-319-50920-4Series ISSN 2196-7326 Series E-ISSN 2196-7334
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發(fā)表于 2025-3-22 12:46:20 | 只看該作者
https://doi.org/10.1007/978-3-319-50920-4Antenna Array Design; Bio-Inspired Computing; Ant Colony Optimisation; Bat Algorithm; Classifier System;
6#
發(fā)表于 2025-3-22 16:07:44 | 只看該作者
Limiting Distribution and Mixing Time for Genetic Algorithms,We use methods from Markov chain theory to analyze the performance of some simple GA models on a class of deceptive objective functions. We consider the invariant distribution, the average expected hitting time, the mixing rate, and limits of these quantities as the objective function becomes more and more highly skewed.
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發(fā)表于 2025-3-22 20:32:11 | 只看該作者
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發(fā)表于 2025-3-22 21:24:07 | 只看該作者
Multi-objective Ant Colony Optimisation in Wireless Sensor Networks,conflicting) objectives simultaneously. In this chapter, a detailed review and summary of MOACO-based algorithms and their applications in WSNs is given. In particular, a taxonomy of MOACO-based algorithms is presented and their suitability for multi-objective combinatorial optimisation problems in WSNs is highlighted.
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發(fā)表于 2025-3-23 03:58:31 | 只看該作者
Morphological Filters: An Inspiration from Natural Geometrical Erosion and Dilation,geometrical interpretations. Creative natural inspired analogies are deployed to give a clear intuition to readers about the process of each of them. In this regard, binary and grayscale morphological operators and their properties are well defined and depicted via many examples.
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發(fā)表于 2025-3-23 06:22:57 | 只看該作者
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