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Titlebook: Handbook of Nature-Inspired Optimization Algorithms: The State of the Art; Volume II: Solving C Ali Wagdy Mohamed,Diego Oliva,Ponnuthurai N

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發(fā)表于 2025-3-21 17:32:42 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Handbook of Nature-Inspired Optimization Algorithms: The State of the Art
副標題Volume II: Solving C
編輯Ali Wagdy Mohamed,Diego Oliva,Ponnuthurai Nagaratn
視頻videohttp://file.papertrans.cn/422/421730/421730.mp4
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
叢書名稱Studies in Systems, Decision and Control
圖書封面Titlebook: Handbook of Nature-Inspired Optimization Algorithms: The State of the Art; Volume II: Solving C Ali Wagdy Mohamed,Diego Oliva,Ponnuthurai N
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
關(guān)鍵詞Nature-Inspired Optimization Algorithms; NIOAs; Optimization; Metaheuristics; Evolutionary Algorithms
版次1
doihttps://doi.org/10.1007/978-3-031-07516-2
isbn_softcover978-3-031-07518-6
isbn_ebook978-3-031-07516-2Series ISSN 2198-4182 Series E-ISSN 2198-4190
issn_series 2198-4182
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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,Energy Aware Tikhonov-Regularized FPA Technique for?Task Scheduling in?Wearable Biomedical Devices,ach to compute the Tikhonov regularization term efficiently. The algorithm has been tested for scheduling the tasks of two biosensors: a heart rate sensor and a temperature sensor on a lab-based biomedical device.
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Optimum Design of Truss Structures with Atomic Orbital Search Considering Discrete Design Variableszation field, such as 10-bar, 25-bar, 52-bar, and 160-bar truss structures, are used as design examples. A simple penalty approach is implemented in AOS as a constraint handling scheme, while a comprehensive statistical analysis is also conducted through multiple optimization runs. The results of th
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Book 2022ications 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..
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erschienen sind. Der Verlag stellt mit diesem Archiv Quellen für die historische wie auch die disziplingeschichtliche Forschung zur Verfügung, die jeweils im historischen Kontext betrachtet werden müssen. Dieser Titel erschien in der Zeit vor 1945 und wird daher in seiner zeittypischen politisch-ide
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Hao Wuerschienen sind. Der Verlag stellt mit diesem Archiv Quellen für die historische wie auch die disziplingeschichtliche Forschung zur Verfügung, die jeweils im historischen Kontext betrachtet werden müssen. Dieser Titel erschien in der Zeit vor 1945 und wird daher in seiner zeittypischen politisch-ide
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