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Titlebook: Derivative-free DIRECT-type Global Optimization; Applications and Sof Linas Stripinis,Remigijus Paulavičius Book 2023 The Editor(s) (if app

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发表于 2025-3-21 19:58:21 | 显示全部楼层 |阅读模式
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Titlebook: Derivative-free DIRECT-type Global Optimization; Applications and Sof Linas Stripinis,Remigijus Paulavičius Book 2023 The Editor(s) (if app
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
doihttps://doi.org/10.1007/978-3-031-46537-6
isbn_softcover978-3-031-46539-0
isbn_ebook978-3-031-46537-6Series ISSN 2190-8354 Series E-ISSN 2191-575X
issn_series 2190-8354
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Derivative-free DIRECT-type Global Optimization978-3-031-46537-6Series ISSN 2190-8354 Series E-ISSN 2191-575X
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978-3-031-46539-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
发表于 2025-3-22 13:49:15 | 显示全部楼层
Facility Location with Chance Constraintsive-free techniques for global optimization. Specifically, we will position the . algorithm within other derivative-free global solution techniques, while also exploring its popularity and the diverse range of applications. By doing so, the readers will gain valuable insights into the significance a
发表于 2025-3-22 17:58:48 | 显示全部楼层
Facility Location Under Uncertaintyciency. This chapter provides a comprehensive review of the advancements made in the development of novel approaches and extensions of the . algorithm. Although the original . algorithm and its modifications were primarily designed for solving box-constrained global optimization problems, this chapt
发表于 2025-3-22 22:41:59 | 显示全部楼层
Francisco Saldanha-da-Gama,Shuming Wangof these algorithms. Various software tools, including the . toolbox and the . algorithmic framework, are discussed in detail. Furthermore, this chapter provides an overview of the . library, which includes a collection of global optimization tests and practical problems in the real world. We conduc
发表于 2025-3-23 02:22:48 | 显示全部楼层
The Role of the , Algorithm in Derivative-Free Global Optimization,hile also exploring its popularity and the diverse range of applications. By doing so, the readers will gain valuable insights into the significance and role of . in the context of solving complex global optimization challenges.
发表于 2025-3-23 07:59:04 | 显示全部楼层
Book 2023m 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-
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