標(biāo)題: Titlebook: Advanced Optimization by Nature-Inspired Algorithms; Omid Bozorg-Haddad Book 2018 Springer Nature Singapore Pte Ltd. 2018 Pattern Search ( [打印本頁] 作者: JAR 時(shí)間: 2025-3-21 19:10
書目名稱Advanced Optimization by Nature-Inspired Algorithms影響因子(影響力)
書目名稱Advanced Optimization by Nature-Inspired Algorithms影響因子(影響力)學(xué)科排名
書目名稱Advanced Optimization by Nature-Inspired Algorithms網(wǎng)絡(luò)公開度
書目名稱Advanced Optimization by Nature-Inspired Algorithms網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Advanced Optimization by Nature-Inspired Algorithms被引頻次
書目名稱Advanced Optimization by Nature-Inspired Algorithms被引頻次學(xué)科排名
書目名稱Advanced Optimization by Nature-Inspired Algorithms年度引用
書目名稱Advanced Optimization by Nature-Inspired Algorithms年度引用學(xué)科排名
書目名稱Advanced Optimization by Nature-Inspired Algorithms讀者反饋
書目名稱Advanced Optimization by Nature-Inspired Algorithms讀者反饋學(xué)科排名
作者: 凝乳 時(shí)間: 2025-3-21 20:53 作者: Terrace 時(shí)間: 2025-3-22 03:02 作者: 常到 時(shí)間: 2025-3-22 07:18 作者: 克制 時(shí)間: 2025-3-22 09:10
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 作者: nonchalance 時(shí)間: 2025-3-22 13:41
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.作者: 經(jīng)典 時(shí)間: 2025-3-22 18:27
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作者: 抵制 時(shí)間: 2025-3-22 22:17
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作者: 圓柱 時(shí)間: 2025-3-23 03:39
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 作者: 用肘 時(shí)間: 2025-3-23 07:07
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作者: 向宇宙 時(shí)間: 2025-3-23 12:56
Shark Smell Optimization (SSO) Algorithm,ervers and measuring apparata belong coexists with the microscopic, unsharp, quantum world. In our model, we assume that “hidden variables” are present at the level of the apparatus, which is a non-standard hypothesis. The reader may thus consider this paper as a good example of how speculative idea作者: 你敢命令 時(shí)間: 2025-3-23 17:34 作者: SYN 時(shí)間: 2025-3-23 20:37 作者: Synchronism 時(shí)間: 2025-3-23 22:51
Advanced Optimization by Nature-Inspired Algorithms作者: 真繁榮 時(shí)間: 2025-3-24 03:08 作者: 送秋波 時(shí)間: 2025-3-24 07:56
Introduction,face plays the crucial role in nanomaterials. Silicon being the second most abundant element on earth has been exploited in a diverse array of applications, besides the semiconductor industry. For instance, 0-dimensional silicon nanostructures or silicon quantum dots are direct band gap nanomaterial作者: amphibian 時(shí)間: 2025-3-24 11:05 作者: AGATE 時(shí)間: 2025-3-24 18:10
League Championship Algorithm (LCA),ent. Through the collaboration of the software engineering community with the quantum computing community new architectural paradigms for quantum-enabled computing systems will be anticipated and developed..The book starts with a chapter that introduces the main concepts and general foundations rela作者: aneurysm 時(shí)間: 2025-3-24 22:11 作者: 千篇一律 時(shí)間: 2025-3-25 00:10 作者: Allege 時(shí)間: 2025-3-25 04:09
Flower Pollination Algorithm (FPA),1736-1806) found "Ooulomb‘s law" for the interaction force between charged particles. The authors want to dedicate this book to the honour of the great pioneer of electrophysics. Recent statistical mechanics is mainly restricted to systems of neutral particles. Except for a few monographs and survey作者: FLIRT 時(shí)間: 2025-3-25 07:33 作者: blithe 時(shí)間: 2025-3-25 11:40 作者: GRIPE 時(shí)間: 2025-3-25 19:13 作者: handle 時(shí)間: 2025-3-25 21:44 作者: AWL 時(shí)間: 2025-3-26 01:43 作者: lipoatrophy 時(shí)間: 2025-3-26 04:53
Crow Search Algorithm (CSA),t in quantum theory..Includes supplementary material: Nowadays it is becoming clearer and clearer that, in the description of natural phenomena, the triadic scheme - microseopie, mesoscopic, macroscopic - is only a rough approximation and that there are many levels of description, probably an infini作者: 治愈 時(shí)間: 2025-3-26 08:59 作者: ANTE 時(shí)間: 2025-3-26 16:17 作者: 高調(diào) 時(shí)間: 2025-3-26 20:22
https://doi.org/10.1007/978-981-16-9777-7. In this chapter, one of the heuristic algorithms named Anarchic Society Optimization (ASO) algorithm based on human societies, is introduced. After a brief literature review of the ASO algorithm, more technical details on this method and its performance are described.作者: 繁榮地區(qū) 時(shí)間: 2025-3-26 23:36 作者: 真繁榮 時(shí)間: 2025-3-27 04:56
Giuseppe Pignatti,Sandro Pignatti eggs. The basis of the algorithm is made by the attempt to survive. While competing for being survived, some of them are demised. The survived cuckoos immigrate to better areas and start reproducing and laying eggs. Finally, the survived cuckoos are converged in a way that there is a cuckoo society with the same profit rate.作者: 頂點(diǎn) 時(shí)間: 2025-3-27 06:00 作者: bisphosphonate 時(shí)間: 2025-3-27 12:35 作者: 刪減 時(shí)間: 2025-3-27 16:10
Book 2018s 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 作者: LVAD360 時(shí)間: 2025-3-27 21:16
https://doi.org/10.1007/978-981-16-9777-7This chapter briefly describes the league championship algorithm (LCA) as one of the new evolutionary algorithms. In this chapter, a brief literature review of LCA is first presented; and then the procedure of holding a common league in sports and its rules are described. Finally, a pseudo code of LCA is presented.作者: Intellectual 時(shí)間: 2025-3-28 00:07
The Importance of Marine Biodiversity,This chapter is designed to describe the flower pollination algorithm (FPA) which is a new metaheuristic algorithm. First, the FPA applications in different problems are summarized. Then, the natural pollination process and the flower pollination algorithm are described. Finally, a pseudocode of the FPA is presented.作者: 安定 時(shí)間: 2025-3-28 03:48
Stephen P. Kirkman,Kumbi Kilongo NsingiThis chapter describes the grey wolf optimization (GWO) algorithm as one of the new meta-heuristic algorithms. First, a brief literature review is presented and then the natural process of the GWO algorithm is described. Also, the optimization process and a pseudo code of the GWO algorithm are presented in this chapter.作者: Mercurial 時(shí)間: 2025-3-28 10:10 作者: 規(guī)范就好 時(shí)間: 2025-3-28 10:29
The Freshwater Fishes of AngolaThis chapter introduces the Moth-Flame Optimization (MFO) algorithm, along with its applications and variations. The basic steps of the algorithm are explained in detail and a flowchart is represented. In order to better understand the algorithm, a pseudocode of the MFO is also included.作者: 裂縫 時(shí)間: 2025-3-28 17:18 作者: hermitage 時(shí)間: 2025-3-28 19:38 作者: 愚笨 時(shí)間: 2025-3-28 23:28 作者: 食料 時(shí)間: 2025-3-29 03:37
Kaushik Deuti,S. R. Ganesh,Kailash Chandrahm iteration procedure, and the computational steps of the algorithm are detailed. Finally, a pseudo code of CSO ?algorithm? is also presented to demonstrate the implementation of this optimization technique.作者: 浪蕩子 時(shí)間: 2025-3-29 08:32
https://doi.org/10.1007/978-981-16-9777-7cluding derivative and other mathematical methods may not be practical to new complex problems. Therefore new optimization algorithms are needed. In the past decades many algorithms were developed and used for different optimization problems, which can be divided into three categories including clas作者: 短程旅游 時(shí)間: 2025-3-29 15:20 作者: Proclaim 時(shí)間: 2025-3-29 18:32
Giuseppe Pignatti,Sandro Pignattian educational classroom environment. It has an interesting exclusivity which may facilitate the solution process of optimization problems. In this chapter, a brief literature review of the TLBO algorithm is first presented. Then, the working process and two phases of TLBO (teacher phase and learner作者: armistice 時(shí)間: 2025-3-29 20:32
Biodiversity in the Marine Environmentn model. This algorithm was developed by Gandomi and Alavi (.) and the preliminary studies illustrated its potential in solving numerous complex engineering optimization problems. In this chapter, the natural process behind a standard KHA is described.作者: llibretto 時(shí)間: 2025-3-30 02:37
https://doi.org/10.1007/978-3-030-03083-4 sense. In Sect.?., an overview of the implementations of SSO is presented. The underlying idea of the algorithm is discussed in Sect.?.. The mathematical formulation and a pseudo-code are presented in Sects.?. and ., respectively. Section?. is devoted to conclusion.作者: 潛伏期 時(shí)間: 2025-3-30 06:26
Stephen P. Kirkman,Kumbi Kilongo Nsingi, the GE algorithm and the underlying idea are introduced and its applications in some studies are reviewed. Then, the mathematical formulation and a pseudo-code of GE are discussed. Finally, the conclusion is presented.作者: 初學(xué)者 時(shí)間: 2025-3-30 09:28 作者: Pudendal-Nerve 時(shí)間: 2025-3-30 12:54 作者: aspersion 時(shí)間: 2025-3-30 19:55
Advanced Optimization by Nature-Inspired Algorithms978-981-10-5221-7Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: cuticle 時(shí)間: 2025-3-30 22:18
Kaushik Deuti,S. R. Ganesh,Kailash Chandrahm iteration procedure, and the computational steps of the algorithm are detailed. Finally, a pseudo code of CSO ?algorithm? is also presented to demonstrate the implementation of this optimization technique.
