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Titlebook: Computational Intelligence in Optimization; Applications and Imp Yoel Tenne,Chi-Keong Goh Book 2010 Springer-Verlag Berlin Heidelberg 2010

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書(shū)目名稱Computational Intelligence in Optimization
副標(biāo)題Applications and Imp
編輯Yoel Tenne,Chi-Keong Goh
視頻videohttp://file.papertrans.cn/233/232525/232525.mp4
概述State of the art of applications and implementations of computational intelligence in optimization.Provides both theoretical treatments and real-world insights gained by experience in computational in
叢書(shū)名稱Adaptation, Learning, and Optimization
圖書(shū)封面Titlebook: Computational Intelligence in Optimization; Applications and Imp Yoel Tenne,Chi-Keong Goh Book 2010 Springer-Verlag Berlin Heidelberg 2010
描述.This volume presents a collection of recent studies covering the spectrum of computational intelligence applications with emphasis on their application to challenging real-world problems. Topics covered include: Intelligent agent-based algorithms, Hybrid intelligent systems, Cognitive and evolutionary robotics, Knowledge-Based Engineering, fuzzy sets and systems, Bioinformatics and Bioengineering, Computational finance and Computational economics, Data mining, Machine learning, and Expert systems. "Computational Intelligence in Optimization" is a comprehensive reference for researchers, practitioners and advanced-level students interested in both the theory and practice of using computational intelligence in real-world applications..
出版日期Book 2010
關(guān)鍵詞Simulation; agent-based algorithms; bioinformatics; computational intelligence; data mining; diagnosis; fu
版次1
doihttps://doi.org/10.1007/978-3-642-12775-5
isbn_softcover978-3-642-26361-3
isbn_ebook978-3-642-12775-5Series ISSN 1867-4534 Series E-ISSN 1867-4542
issn_series 1867-4534
copyrightSpringer-Verlag Berlin Heidelberg 2010
The information of publication is updating

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978-3-642-26361-3Springer-Verlag Berlin Heidelberg 2010
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https://doi.org/10.1007/978-3-030-74458-8he word; complexity addresses, amongst others, non-linear, contingent and ‘chaotic’ phenomena ([10],[11]). Many thinkers on complexity consider such characteristics - sometimes called .-to demarcate a transition point where analytical approaches are no longer feasible ([26]:18).
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Strategies for Second Language Listeningtimization tools for solving large scale problems was due to the fact that this technique has great potential for hardware VLSI implementation, in which it may be more efficient than traditional optimization techniques. However, the implementation of computational algorithm has shown that the propos
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https://doi.org/10.1007/978-3-031-04174-7lation-based search. We provide motivation and comparison to similar, but different approaches including antithetic variates and quasi-randomness/low-discrepancy sequences. We employ differential evolution and population-based incremental learning as optimization methods for image thresholding. Our
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