| 书目名称 | Many-Criteria Optimization and Decision Analysis | | 副标题 | State-of-the-Art, Pr | | 编辑 | Dimo Brockhoff,Michael Emmerich,Robin Purshouse | | 视频video | | | 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 | | 丛书名称 | Natural Computing Series | | 图书封面 |  | | 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 | | 关键词 | Natural Computing; Evolutionary Computing; Multiobjective Optimization; Bayesian Optimization; Game Theo | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-25263-1 | | isbn_softcover | 978-3-031-25265-5 | | isbn_ebook | 978-3-031-25263-1Series ISSN 1619-7127 Series E-ISSN 2627-6461 | | issn_series | 1619-7127 | | copyright | Springer Nature Switzerland AG 2023 |
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发表于 2025-3-21 17:49:31
