| 书目名称 | Handbook of Nature-Inspired Optimization Algorithms: The State of the Art | | 副标题 | Volume II: Solving C | | 编辑 | Ali Wagdy Mohamed,Diego Oliva,Ponnuthurai Nagaratn | | 视频video | | | 概述 | Presents recent contributions and significant development, advanced issues, and challenges.Explains the algorithms used, selected problems, and the implementation.Provides practical examples, comparis | | 丛书名称 | Studies in Systems, Decision and Control | | 图书封面 |  | | 描述 | .This book presents recent contributions and significant development, advanced issues, and challenges. In real-world problems and applications, most of the optimization problems involve different types of constraints. These problems are called constrained optimization problems (COPs). The optimization of the constrained optimization problems is considered a challenging task since the optimum solution(s) must be feasible. In their original design, evolutionary algorithms (EAs) are able to solve unconstrained optimization problems effectively. As a result, in the past decade, many researchers have developed a variety of constraint handling techniques, incorporated into (EAs) designs, to counter this deficiency..The main objective for this book is to make available a self-contained collection of modern research addressing the general constrained optimization problems in many real-world applications using nature-inspired optimization algorithms. This book is suitable for a graduateclass on optimization, but will also be useful for interested senior students working on their research projects.. | | 出版日期 | Book 2022 | | 关键词 | Nature-Inspired Optimization Algorithms; NIOAs; Optimization; Metaheuristics; Evolutionary Algorithms | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-07516-2 | | isbn_softcover | 978-3-031-07518-6 | | isbn_ebook | 978-3-031-07516-2Series ISSN 2198-4182 Series E-ISSN 2198-4190 | | issn_series | 2198-4182 | | 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 17:32:42
