| 书目名称 | Solving Optimization Problems with the Heuristic Kalman Algorithm | | 副标题 | New Stochastic Metho | | 编辑 | Rosario Toscano | | 视频video | | | 概述 | Provides a review of the main deterministic and stochastic optimization methods.Presents material that industrial engineers, postgraduates, and undergraduates in systems design will find useful.Large | | 丛书名称 | Springer Optimization and Its Applications | | 图书封面 |  | | 描述 | This text focuses on simple and easy-to-use design strategies for solving complex engineering problems that arise in several fields of engineering design, namely non-convex optimization problems. .The main optimization tool used in this book to tackle the problem of nonconvexity is the Heuristic Kalman Algorithm (HKA). The main characteristic of HKA is the use of a stochastic search mechanism to solve a given optimization problem. From a computational point of view, the use of a stochastic search procedure appears essential for dealing with non-convex problems..The topics discussed in this monograph include basic definitions and concepts from the classical optimization theory, the notion of the acceptable solution, machine learning, the concept of preventive maintenance, and more. .The Heuristic Kalman Algorithm discussed in this book applies to many fields such as robust structured control, electrical engineering, mechanical engineering, machine learning, reliability, and preference models. This large coverage of practical optimization problems makes this text very useful to those working on and researching systems design. The intended audience includes industrial engineers, postg | | 出版日期 | Book 2024 | | 关键词 | stochastic optimization; heuristic Kalman algorithm; structured controllers; uncertain systems; robust c | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-52459-2 | | isbn_softcover | 978-3-031-52461-5 | | isbn_ebook | 978-3-031-52459-2Series ISSN 1931-6828 Series E-ISSN 1931-6836 | | issn_series | 1931-6828 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 19:02:06
