| 书目名称 | Recent Advances in Evolutionary Multi-objective Optimization | | 编辑 | Slim Bechikh,Rituparna Datta,Abhishek Gupta | | 视频video | | | 概述 | Provides both methodological treatments and real world insights.Serves as comprehensive reference for researchers, practitioners, and advanced-level students.Covers both the theory and practice of usi | | 丛书名称 | Adaptation, Learning, and Optimization | | 图书封面 |  | | 描述 | This book covers the most recent advances in the field of evolutionary multiobjective optimization. With the aim of drawing the attention of up-and coming scientists towards exciting prospects at the forefront of computational intelligence, the authors have made an effort to ensure that the ideas conveyed herein are accessible to the widest audience. The book begins with a summary of the basic concepts in multi-objective optimization. This is followed by brief discussions on various algorithms that have been proposed over the years for solving such problems, ranging from classical (mathematical) approaches to sophisticated evolutionary ones that are capable of seamlessly tackling practical challenges such as non-convexity, multi-modality, the presence of multiple constraints, etc. Thereafter, some of the key emerging aspects that are likely to shape future research directions in the field are presented. These include: optimization in dynamic environments, multi-objective bilevel programming, handling high dimensionality under many objectives, and evolutionary multitasking. In addition to theory and methodology, this book describes several real-world applications from various domain | | 出版日期 | Book 2017 | | 关键词 | Computational Intelligence; Multi-Objective Optimization; Evolutionary Computation; Decision Making; Dyn | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-42978-6 | | isbn_softcover | 978-3-319-82709-4 | | isbn_ebook | 978-3-319-42978-6Series ISSN 1867-4534 Series E-ISSN 1867-4542 | | issn_series | 1867-4534 | | copyright | Springer International Publishing Switzerland 2017 |
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发表于 2025-3-21 17:01:41
