1# Library to Find Best eBook for Read
Author : Ali Mohamed
Release : 2022
Genre :
Kind : eBook
Book Rating : 179/5 ( reviews)
Book Synopsis Solving Constrained Single Objective Real-parameter Optimization Problems by : Ali Mohamed
Download or read book Solving Constrained Single Objective Real-parameter Optimization Problems written by Ali Mohamed. This book was released on 2022. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ali Mohamed
Release : 2022
Genre :
Kind : eBook
Book Rating : 131/5 ( reviews)
Book Synopsis Solving Single Objective Bound-constrained Real-parameter Numerical Optimization Problems by : Ali Mohamed
Download or read book Solving Single Objective Bound-constrained Real-parameter Numerical Optimization Problems written by Ali Mohamed. This book was released on 2022. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Rituparna Datta
Release : 2014-12-13
Genre : Technology & Engineering
Kind : eBook
Book Rating : 842/5 ( reviews)
Book Synopsis Evolutionary Constrained Optimization by : Rituparna Datta
Download or read book Evolutionary Constrained Optimization written by Rituparna Datta. This book was released on 2014-12-13. Available in PDF, EPUB and Kindle. Book excerpt: This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary algorithms. Broadly the topics covered include constraint handling for single and multi-objective optimizations; penalty function based methodology; multi-objective based methodology; new constraint handling mechanism; hybrid methodology; scaling issues in constrained optimization; design of scalable test problems; parameter adaptation in constrained optimization; handling of integer, discrete and mix variables in addition to continuous variables; application of constraint handling techniques to real-world problems; and constrained optimization in dynamic environment. There is also a separate chapter on hybrid optimization, which is gaining lots of popularity nowadays due to its capability of bridging the gap between evolutionary and classical optimization. The material in the book is useful to researchers, novice, and experts alike. The book will also be useful for classroom teaching and future research.
Author : David B. Fogel
Release : 2006-01-03
Genre : Technology & Engineering
Kind : eBook
Book Rating : 206/5 ( reviews)
Book Synopsis Evolutionary Computation by : David B. Fogel
Download or read book Evolutionary Computation written by David B. Fogel. This book was released on 2006-01-03. Available in PDF, EPUB and Kindle. Book excerpt: This Third Edition provides the latest tools and techniques that enable computers to learn The Third Edition of this internationally acclaimed publication provides the latest theory and techniques for using simulated evolution to achieve machine intelligence. As a leading advocate for evolutionary computation, the author has successfully challenged the traditional notion of artificial intelligence, which essentially programs human knowledge fact by fact, but does not have the capacity to learn or adapt as evolutionary computation does. Readers gain an understanding of the history of evolutionary computation, which provides a foundation for the author's thorough presentation of the latest theories shaping current research. Balancing theory with practice, the author provides readers with the skills they need to apply evolutionary algorithms that can solve many of today's intransigent problems by adapting to new challenges and learning from experience. Several examples are provided that demonstrate how these evolutionary algorithms learn to solve problems. In particular, the author provides a detailed example of how an algorithm is used to evolve strategies for playing chess and checkers. As readers progress through the publication, they gain an increasing appreciation and understanding of the relationship between learning and intelligence. Readers familiar with the previous editions will discover much new and revised material that brings the publication thoroughly up to date with the latest research, including the latest theories and empirical properties of evolutionary computation. The Third Edition also features new knowledge-building aids. Readers will find a host of new and revised examples. New questions at the end of each chapter enable readers to test their knowledge. Intriguing assignments that prepare readers to manage challenges in industry and research have been added to the end of each chapter as well. This is a must-have reference for professionals in computer and electrical engineering; it provides them with the very latest techniques and applications in machine intelligence. With its question sets and assignments, the publication is also recommended as a graduate-level textbook.
Author : Uday K. Chakraborty
Release : 2008-07-23
Genre : Computers
Kind : eBook
Book Rating : 277/5 ( reviews)
Book Synopsis Advances in Differential Evolution by : Uday K. Chakraborty
Download or read book Advances in Differential Evolution written by Uday K. Chakraborty. This book was released on 2008-07-23. Available in PDF, EPUB and Kindle. Book excerpt: 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 application of differential evolution in two important areas of applied electromagnetics. Chapters 10 and 11 focus on applications of hybrid DE algorithms to problems in power system optimization. Chapter 12 applies the DE algorithm to computer chess. The use of DE to solve a problem in bioprocess engineering is discussed in Chapter 13. Chapter 14 describes the application of hybrid differential evolution to a problem in control engineering.
