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Titlebook: Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization; Dhish Kumar Saxena,Sukrit Mittal,Erik D. Goodman Book 2024

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發(fā)表于 2025-3-21 17:55:29 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization
編輯Dhish Kumar Saxena,Sukrit Mittal,Erik D. Goodman
視頻videohttp://file.papertrans.cn/621/620390/620390.mp4
概述Dedicated to machine learning based performance enhancements in evolutionary multi- and many objective optimization.Discusses the topics in a clear and structured manner, covering the search, post-opt
叢書(shū)名稱Genetic and Evolutionary Computation
圖書(shū)封面Titlebook: Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization; Dhish Kumar Saxena,Sukrit Mittal,Erik D. Goodman Book 2024
描述This book focuses on machine learning (ML) assisted evolutionary multi- and many-objective optimization (EMaO). EMaO algorithms, namely EMaOAs, iteratively evolve a set of solutions towards a good Pareto Front approximation. The availability of multiple solution sets over successive generations makes EMaOAs amenable to application of ML for different pursuits.?.Recognizing the immense potential for ML-based enhancements in the EMaO domain, this book intends to serve as an exclusive resource for both domain novices and the experienced researchers and practitioners.?To achieve this goal, the book first covers the foundations of optimization, including problem and algorithm types.?Then, well-structured chapters present some of the key studies on ML-based enhancements in the EMaO domain, systematically addressing important aspects. These include learning to understand the problem structure, converge better, diversify better, simultaneously converge and diversify better, and analyze the Pareto Front. In doing so, this book broadly summarizes the literature, beginning with foundational work on innovization (2003) and objective reduction (2006), and extending to the most recently proposed
出版日期Book 2024
關(guān)鍵詞Evolutionary Multi-objective Optimization; Machine Learning; Evolutionary Computation; Convergence; Dive
版次1
doihttps://doi.org/10.1007/978-981-99-2096-9
isbn_softcover978-981-99-2098-3
isbn_ebook978-981-99-2096-9Series ISSN 1932-0167 Series E-ISSN 1932-0175
issn_series 1932-0167
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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發(fā)表于 2025-3-21 23:12:30 | 只看該作者
Investigating Innovized Progress Operators with Different ML Methods,used in these operators was not discussed. However, to endorse the robustness of the proposed (IP2, IP3, and UIP) operators, it is imperative to investigate how significantly their performance can be influenced when the underlying ML methods are varied.
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發(fā)表于 2025-3-22 00:54:11 | 只看該作者
,Learning to Analyze the?Pareto-Optimal Front, vectors in the .-approximation (.?in?.), and their underlying variable vectors (.?in?.). Subsequently, the trained ML model is applied to predict the solution’s . vector for any desired pseudo-weight vector. In other words, the trained ML model is used to create new non-dominated solutions in any d
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發(fā)表于 2025-3-22 07:53:02 | 只看該作者
Book 2024converge better, diversify better, simultaneously converge and diversify better, and analyze the Pareto Front. In doing so, this book broadly summarizes the literature, beginning with foundational work on innovization (2003) and objective reduction (2006), and extending to the most recently proposed
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發(fā)表于 2025-3-22 11:08:22 | 只看該作者
tutionen in der Konstitution von Differenzordnungen spielen.?Der Band leistet dadurch einen wertvollen Beitrag zur (empirischen) erziehungswissenschaftlichen Differenzforschung.978-3-658-37327-6978-3-658-37328-3Series ISSN 2524-8731 Series E-ISSN 2524-874X
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發(fā)表于 2025-3-23 04:55:04 | 只看該作者
Dhish Kumar Saxena,Sukrit Mittal,Kalyanmoy Deb,Erik D. Goodmanelle Strukturen hermachen. In ihnen finden sie nicht nur einen Gegenstand, den man über gesetz- gebende Parlamentsbeschlüsse vergleichsweise leicht ver?ndern k?nnte; sie kapri- zieren sich zugleich auf einen Aspekt des (Aus-)Bildtingsgeschehens, der ihnen intellektuell mit eher bescheidenem Aufwand bew?ltigba978-3-8100-3055-9978-3-663-10645-6
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發(fā)表于 2025-3-23 07:33:28 | 只看該作者
Dhish Kumar Saxena,Sukrit Mittal,Kalyanmoy Deb,Erik D. Goodmanund t?tigkeitsbezogene Formen der Vermittlung in den Blick. Aus einer didaktischen Perspektive entsteht damit die Frage nach einer angemessenen Ausrichtung der kaufm?nnischen Aus- und Weiterbildung. Aus der hier bezogenen Position bedeutet das, für die Berufsschule eine Ortsbestimmung aufzubauen, zu
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