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Titlebook: Advanced Optimization by Nature-Inspired Algorithms; Omid Bozorg-Haddad Book 2018 Springer Nature Singapore Pte Ltd. 2018 Pattern Search (

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發(fā)表于 2025-3-21 19:10:49 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Advanced Optimization by Nature-Inspired Algorithms
影響因子2023Omid Bozorg-Haddad
視頻videohttp://file.papertrans.cn/147/146063/146063.mp4
發(fā)行地址Collects a wide range of the most important algorithms which are useful in engineering.Provides a step-by-step presentation of each algorithm with guidelines for coding algorithms.Also provides a theo
學(xué)科分類(lèi)Studies in Computational Intelligence
圖書(shū)封面Titlebook: Advanced Optimization by Nature-Inspired Algorithms;  Omid Bozorg-Haddad Book 2018 Springer Nature Singapore Pte Ltd. 2018 Pattern Search (
影響因子This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering, and it includes application of these algorithms to important engineering optimization problems. In addition, this book guides readers to studies that have implemented these algorithms by providing a literature review on developments and applications of each algorithm. This book is intended for students, but can be used by researchers and professionals in the area of engineering optimization..
Pindex Book 2018
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沙發(fā)
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League Championship Algorithm (LCA),ironments and tools, detailing platforms like QuantumPath?, Classiq as well as quantum software frameworks for deep learning.. .Overall, the book aims at academic researchers and practitioners involved in the creation of quantum information systems and software platforms. It is assumed that readers
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發(fā)表于 2025-3-22 13:41:21 | 只看該作者
Anarchic Society Optimization (ASO) Algorithm,eme assumption served to eliminate the minimum in the relative surface tension .. concentration curve obtained originally by Jones and Ray. Furthermore, our formulae predict no difference in the magnitude of the correction between the two extreme cases for most 1-1 electrolytes.
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Teaching-Learning-Based Optimization (TLBO) Algorithm,f experimental and theoretical aspects of the SHe superf1uid problem. Work in the areas of films, mono1ayers, and mixtures is presented next, followed by two papers on liquid ~He. We conclude with a selection of six papers on other quantum fluids and general statistical mechanics. We are most grateful to the 978-1-4684-2210-8978-1-4684-2208-5
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Flower Pollination Algorithm (FPA),t at least some part of the known results on charged particle systems from a unified point of view. Here the method of Green‘s functions turns out to be a powerful method especially to overcome the difficulties connected with the statistical physics of charged particle systems; some of them are . mentioned in978-1-4612-9273-9978-1-4613-2159-0
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Krill Herd Algorithm (KHA),fied in terms of the generalized superposition of coherent fields and quantum noise, based on the properties of the generating function (8.59b), which also will be discussed in greater detail in this chapter. The generalized superposition of coherent fields and quantum noise provides a good way for
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發(fā)表于 2025-3-23 07:07:35 | 只看該作者
Grey Wolf Optimization (GWO) Algorithm,ion in its interaction with matter. In particular, nonlinear optical processes are considered, and purely quantum phenomena such as antibunching of photons are discussed. This book will be useful to research workers in the fields of quantum optics and electronics, quantum generators, optical communication and978-94-009-6250-7978-94-009-6248-4
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