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Titlebook: Advances in Differential Evolution; Uday K. Chakraborty Book 2008 Springer-Verlag Berlin Heidelberg 2008 Analysis.algorithm.algorithms.com

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发表于 2025-3-21 17:53:40 | 显示全部楼层 |阅读模式
期刊全称Advances in Differential Evolution
影响因子2023Uday K. Chakraborty
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发行地址This book seeks to present a comprehensive study of the state of the art in differential evolution
学科分类Studies in Computational Intelligence
图书封面Titlebook: Advances in Differential Evolution; Uday K. Chakraborty Book 2008 Springer-Verlag Berlin Heidelberg 2008 Analysis.algorithm.algorithms.com
影响因子.Differential evolution is arguably one of the hottest topics in today‘s computational intelligence research. This book seeks to present a comprehensive study of the state of the art in this technology and also directions for future research. ..The fourteen chapters of this book have been written by leading experts in the area. The first seven chapters focus on algorithm design, while the last seven describe real-world applications. Chapter 1 introduces the basic differential evolution (DE) algorithm and presents a broad overview of the field. Chapter 2 presents a new, rotationally invariant DE algorithm. The role of self-adaptive control parameters in DE is investigated in Chapter 3. Chapters 4 and 5 address constrained optimization; the former develops suitable stopping conditions for the DE run, and the latter presents an improved DE algorithm for problems with very small feasible regions. A novel DE algorithm, based on the concept of "opposite" points, is the topic of Chapter 6. Chapter 7 provides a survey of multi-objective differential evolution algorithms. A review of the major application areas of differential evolution is presented in Chapter 8. Chapter 9 discusses the app
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书目名称Advances in Differential Evolution影响因子(影响力)




书目名称Advances in Differential Evolution影响因子(影响力)学科排名




书目名称Advances in Differential Evolution网络公开度




书目名称Advances in Differential Evolution网络公开度学科排名




书目名称Advances in Differential Evolution被引频次




书目名称Advances in Differential Evolution被引频次学科排名




书目名称Advances in Differential Evolution年度引用




书目名称Advances in Differential Evolution年度引用学科排名




书目名称Advances in Differential Evolution读者反馈




书目名称Advances in Differential Evolution读者反馈学科排名




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Phillip Cem Cezayirli,Hatice Türe,Uğur Türe of the opposite numbers is empirically verified. Additionally, two time varying models for control parameter adjustment of ODE are investigated. Details of the ODE algorithm, the test set, and the comparison strategy are provided.
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Stephan A. Munich M.D.,Michael Chen M.D. an alternative to perform online optimization, where the input variables are adjusted while the real fermentation process is ongoing. In this case, a changing landscape is optimized, therefore making the task of the algorithms more difficult. However, that fact does not impair the performance of the DE and confirms its good behaviour.
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