| 书目名称 | Handbook of Nature-Inspired Optimization Algorithms: The State of the Art | | 副标题 | Volume I: Solving Si | | 编辑 | Ali Mohamed,Diego Oliva,Ponnuthurai Nagaratnam Sug | | 视频video | | | 概述 | Explains the algorithms used, selected problems, and the implementation.Focuses on solving single objective bound-constrained real parameter numerical optimization problems with NIOAs.Provides practic | | 丛书名称 | Studies in Systems, Decision and Control | | 图书封面 |  | | 描述 | .The introduction of nature-inspired optimization algorithms (NIOAs), over the past three decades, helped solve nonlinear, high-dimensional, and complex computational optimization problems. NIOAs have been originally developed to overcome the challenges of global optimization problems such as nonlinearity, non-convexity, non-continuity, non-differentiability, and/or multimodality which traditional numerical optimization techniques had difficulties solving..The main objective for this book is to make available a self-contained collection of modern research addressing the general bound-constrained optimization problems in many real-world applications using nature-inspired optimization algorithms. This book is suitable for a graduate class 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/10.1007/978-3-031-07512-4 | | isbn_softcover | 978-3-031-07514-8 | | isbn_ebook | 978-3-031-07512-4Series 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 16:23:40
