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Titlebook: Many-Criteria Optimization and Decision Analysis; State-of-the-Art, Pr Dimo Brockhoff,Michael Emmerich,Robin Purshouse Book 2023 Springer N

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發(fā)表于 2025-3-21 17:49:31 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Many-Criteria Optimization and Decision Analysis
副標題State-of-the-Art, Pr
編輯Dimo Brockhoff,Michael Emmerich,Robin Purshouse
視頻videohttp://file.papertrans.cn/624/623690/623690.mp4
概述Authored by leading experts in the field.Identifies and discusses the key research topics in many-criteria optimization.Contributes to evolutionary computing, operations research, multiobjective optim
叢書名稱Natural Computing Series
圖書封面Titlebook: Many-Criteria Optimization and Decision Analysis; State-of-the-Art, Pr Dimo Brockhoff,Michael Emmerich,Robin Purshouse Book 2023 Springer N
描述.This book presents the state-of-the-art, current challenges, and future perspectives for the field of many-criteria optimization and decision analysis. The field recognizes that real-life problems often involve trying to balance a multiplicity of considerations simultaneously – such as performance, cost, risk, sustainability, and quality. The field develops theory, methods and tools that can support decision makers in finding appropriate solutions when faced with .many. (typically more than three) such criteria at the same time.?..The book consists of two parts: key research topics, and emerging topics. Part I begins with a general introduction to many-criteria optimization, perspectives from research leaders in real-world problems, and a contemporary survey of the attributes of problems of this kind. This part continues with chapters on fundamental aspects of many-criteria optimization, namely on order relations, quality measures, benchmarking, visualization, and theoretical considerations. Part II offers more specialized chapters on correlated objectives, heterogeneous objectives, Bayesian optimization, and game theory...Written by leading experts across the field of many-criter
出版日期Book 2023
關鍵詞Natural Computing; Evolutionary Computing; Multiobjective Optimization; Bayesian Optimization; Game Theo
版次1
doihttps://doi.org/10.1007/978-3-031-25263-1
isbn_softcover978-3-031-25265-5
isbn_ebook978-3-031-25263-1Series ISSN 1619-7127 Series E-ISSN 2627-6461
issn_series 1619-7127
copyrightSpringer Nature Switzerland AG 2023
The information of publication is updating

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發(fā)表于 2025-3-21 22:18:38 | 只看該作者
. The central subjects of Volume 2 are: transformations of measures, conditional measures, and weak convergence of measures. These three topics are closely interwoven and form the heart of modern measure theory...The organization of the book does not require systematic reading from beginning to end;
板凳
發(fā)表于 2025-3-22 01:18:38 | 只看該作者
Kalyanmoy Deb,Peter Fleming,Yaochu Jin,Kaisa Miettinen,Patrick M. Reed. The central subjects of Volume 2 are: transformations of measures, conditional measures, and weak convergence of measures. These three topics are closely interwoven and form the heart of modern measure theory...The organization of the book does not require systematic reading from beginning to end;
地板
發(fā)表于 2025-3-22 04:36:24 | 只看該作者
Koen van der Blom,Timo M. Deist,Vanessa Volz,Mariapia Marchi,Yusuke Nojima,Boris Naujoks,Akira Oyama. The central subjects of Volume 2 are: transformations of measures, conditional measures, and weak convergence of measures. These three topics are closely interwoven and form the heart of modern measure theory...The organization of the book does not require systematic reading from beginning to end;
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Identifying Properties of Real-World Optimisation Problems Through a Questionnaireding the optimisation process. These are all important aspects to consider when designing realistic benchmark problems. At the same time, the design of realistic benchmarks is difficult, because objective functions are often reported to be black-box and many problem properties are unknown. To furthe
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發(fā)表于 2025-3-23 04:39:26 | 只看該作者
Benchmarkingded in terms of ease of use and the ability to characterise and describe benchmarking functions. In addition, we provide a concise list of common pitfalls to look out for when using benchmarks, along with suggestions of how to avoid them. This part of the chapter is intended as a guide to help impro
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發(fā)表于 2025-3-23 07:14:52 | 只看該作者
Identifying Correlations in?Understanding and Solving Many-Objective Optimisation Problemslar useful technique to capture the relationships between objective functions is to rely on correlation measures. This chapter explores the literature of finding correlations among objective functions in solving multi-objective optimisation problems. Particularly, we focus on innovization and object
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