| 期刊全稱(chēng) | Advances in Differential Evolution | | 影響因子2023 | Uday K. Chakraborty | | 視頻video | http://file.papertrans.cn/148/147806/147806.mp4 | | 發(fā)行地址 | This book seeks to present a comprehensive study of the state of the art in differential evolution | | 學(xué)科分類(lèi) | Studies in Computational Intelligence | | 圖書(shū)封面 |  | | 影響因子 | .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 | | Pindex | Book 2008 |
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