书目名称 | Derivative-free DIRECT-type Global Optimization |
副标题 | Applications and Sof |
编辑 | Linas Stripinis,Remigijus Paulavičius |
视频video | |
概述 | Maximizes reader insight into DIRECT-type optimization.Presents techniques for accelerating DIRECT-type algorithms.Demonstrates algorithm effectiveness through well-known practical problems |
丛书名称 | SpringerBriefs in Optimization |
图书封面 |  |
描述 | .After providing an in-depth introduction to derivative-free global optimization with various constraints, this book presents new original results from well-known experts on the subject. A primary focus of this book is the well-known class of deterministic DIRECT (DIviding RECTangle)-type algorithms. This book describes a new set of algorithms derived from newly developed partitioning, sampling, and selection approaches in the box- and generally-constrained global optimization, including extensions to multi-objective optimization. DIRECT-type optimization algorithms are discussed in terms of fundamental principles, potential, and boundaries of their applicability. The algorithms are analyzed from various perspectives to offer insight into their main features. This explains how and why they are effective at solving optimization problems. As part of this book, the authors also present several techniques for accelerating the DIRECT-type algorithms through parallelization and implementing efficient data structures by revealing the pros and cons of the design challenges involved. A collection of DIRECT-type algorithms described and analyzed in this book is available in DIRECTGO, a MATLA |
出版日期 | Book 2023 |
关键词 | Global Optimization; Derivative-Free Optimization; Lipschitz Optimization; DIRECT-Type Algorithm; Sampli |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-031-46537-6 |
isbn_softcover | 978-3-031-46539-0 |
isbn_ebook | 978-3-031-46537-6Series ISSN 2190-8354 Series E-ISSN 2191-575X |
issn_series | 2190-8354 |
copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |