Intelligence Computation and Evolutionary Computation

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  • Author : Zhenyu Du
  • Publisher : Springer Science & Business Media
  • Pages : 1114 pages
  • ISBN : 3642316557
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Intelligence Computation and Evolutionary Computation

Download or Read online Intelligence Computation and Evolutionary Computation full in PDF, ePub and kindle. this book written by Zhenyu Du and published by Springer Science & Business Media which was released on 13 August 2012 with total page 1114 pages. We cannot guarantee that Intelligence Computation and Evolutionary Computation book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 2012 International Conference of Intelligence Computation and Evolutionary Computation (ICEC 2012) is held on July 7, 2012 in Wuhan, China. This conference is sponsored by Information Technology & Industrial Engineering Research Center. ICEC 2012 is a forum for presentation of new research results of intelligent computation and evolutionary computation. Cross-fertilization of intelligent computation, evolutionary computation, evolvable hardware and newly emerging technologies is strongly encouraged. The forum aims to bring together researchers, developers, and users from around the world in both industry and academia for sharing state-of-art results, for exploring new areas of research and development, and to discuss emerging issues facing intelligent computation and evolutionary computation.

Intelligence Computation and Evolutionary Computation

Intelligence Computation and Evolutionary Computation
  • Author : Zhenyu Du
  • Publisher : Springer Science & Business Media
  • Release : 13 August 2012
GET THIS BOOK Intelligence Computation and Evolutionary Computation

2012 International Conference of Intelligence Computation and Evolutionary Computation (ICEC 2012) is held on July 7, 2012 in Wuhan, China. This conference is sponsored by Information Technology & Industrial Engineering Research Center. ICEC 2012 is a forum for presentation of new research results of intelligent computation and evolutionary computation. Cross-fertilization of intelligent computation, evolutionary computation, evolvable hardware and newly emerging technologies is strongly encouraged. The forum aims to bring together researchers, developers, and users from around the world in both industry and academia for sharing state-of-art

Evolutionary Computation

Evolutionary Computation
  • Author : David B. Fogel
  • Publisher : John Wiley & Sons
  • Release : 03 January 2006
GET THIS BOOK Evolutionary Computation

This Third Edition provides the latest tools and techniques thatenable computers to learn The Third Edition of this internationally acclaimed publicationprovides the latest theory and techniques for using simulatedevolution to achieve machine intelligence. As a leading advocatefor evolutionary computation, the author has successfullychallenged the traditional notion of artificial intelligence, whichessentially programs human knowledge fact by fact, but does nothave the capacity to learn or adapt as evolutionary computationdoes. Readers gain an understanding of the history of evolutionarycomputation, which provides a

Fundamentals of Computational Intelligence

Fundamentals of Computational Intelligence
  • Author : James M. Keller,David B. Fogel,Derong Liu
  • Publisher : John Wiley & Sons
  • Release : 12 July 2016
GET THIS BOOK Fundamentals of Computational Intelligence

Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation. The text focuses on inspiration, design, theory, and practical aspects of implementing procedures to solve real-world problems. While other books in the three fields that comprise computational intelligence are written by specialists in one discipline, this book is co-written

Evolutionary Computation

Evolutionary Computation
  • Author : D. Dumitrescu,Beatrice Lazzerini,Lakhmi C. Jain,A. Dumitrescu
  • Publisher : CRC Press
  • Release : 22 June 2000
GET THIS BOOK Evolutionary Computation

Rapid advances in evolutionary computation have opened up a world of applications-a world rapidly growing and evolving. Decision making, neural networks, pattern recognition, complex optimization/search tasks, scheduling, control, automated programming, and cellular automata applications all rely on evolutionary computation. Evolutionary Computation presents the basic principles of evolutionary computing: genetic algorithms, evolution strategies, evolutionary programming, genetic programming, learning classifier systems, population models, and applications. It includes detailed coverage of binary and real encoding, including selection, crossover, and mutation, and discusses

Evolutionary Computation

Evolutionary Computation
  • Author : Xin Yao
  • Publisher : World Scientific
  • Release : 24 January 1999
GET THIS BOOK Evolutionary Computation

Evolutionary computation is the study of computational systems which use ideas and get inspiration from natural evolution and adaptation. This book is devoted to the theory and application of evolutionary computation. It is a self-contained volume which covers both introductory material and selected advanced topics. The book can roughly be divided into two major parts: the introductory one and the one on selected advanced topics. Each part consists of several chapters which present an in-depth discussion of selected topics. A

Advances in Computation and Intelligence

Advances in Computation and Intelligence
  • Author : Xuesong Yan
  • Publisher : Springer
  • Release : 14 December 2008
GET THIS BOOK Advances in Computation and Intelligence

This book constitutes the refereed proceedings of the Third International Symposium on Intelligence Computation and Applications, ISICA 2008, held in Wuhan, China, in December 2008. The 93 revised full papers were carefully reviewed and selected from about 700 submissions. The papers are organized in topical sections on computational intelligence, evolutionary computation, evolutionary multi-objective and dynamic optimization, evolutionary learning systems, neural networks, classification and recognition, bioinformatics and bioengineering, evolutionary data mining and knowledge discovery, intelligent GIS and control, theory of intelligent computation, combinational and numerical

Computational Intelligence

Computational Intelligence
  • Author : Andries P. Engelbrecht
  • Publisher : John Wiley & Sons
  • Release : 22 October 2007
GET THIS BOOK Computational Intelligence

Computational Intelligence: An Introduction, Second Edition offers an in-depth exploration into the adaptive mechanisms that enable intelligent behaviour in complex and changing environments. The main focus of this text is centred on the computational modelling of biological and natural intelligent systems, encompassing swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems and evolutionary computation. Engelbrecht provides readers with a wide knowledge of Computational Intelligence (CI) paradigms and algorithms; inviting readers to implement and problem solve real-world, complex problems within

Computational Intelligence for Modelling Control Automation

Computational Intelligence for Modelling  Control   Automation
  • Author : Masoud Mohammadian
  • Publisher : IOS Press
  • Release : 24 January 1999
GET THIS BOOK Computational Intelligence for Modelling Control Automation

This edited Book is dedicated to the theory and applications of Evolutionary Computation and Fuzzy Logic for Intelligent Control, Knowledge Acquisition and Information Retrieval. The book consists of 86 selected research papers from the 1999 International Conference on Computational Intelligence for Modelling, Control and Automation - CIMCA'99 The research papers presented in this book cover new techniques and applications in the following research areas: Evolutionary Computation, Fuzzy Logic and Expert Systems with their applications for Optimisation, Learning, Control, Scheduling and Multi-Criteria Analysis

Evolutionary Computation in Dynamic and Uncertain Environments

Evolutionary Computation in Dynamic and Uncertain Environments
  • Author : Shengxiang Yang,Yew-Soon Ong,Yaochu Jin
  • Publisher : Springer
  • Release : 03 April 2007
GET THIS BOOK Evolutionary Computation in Dynamic and Uncertain Environments

This book compiles recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The book is motivated by the fact that some degree of uncertainty is inevitable in characterizing any realistic engineering systems. Discussion includes representative methods for addressing major sources of uncertainties in evolutionary computation, including handle of noisy fitness functions, use of approximate fitness functions, search for robust solutions, and tracking moving optimums.

Computational Intelligence

Computational Intelligence
  • Author : Nazmul Siddique,Hojjat Adeli
  • Publisher : John Wiley & Sons
  • Release : 06 May 2013
GET THIS BOOK Computational Intelligence

Computational Intelligence: Synergies of Fuzzy Logic, NeuralNetworks and Evolutionary Computing presents an introduction tosome of the cutting edge technological paradigms under the umbrellaof computational intelligence. Computational intelligence schemesare investigated with the development of a suitable framework forfuzzy logic, neural networks and evolutionary computing,neuro-fuzzy systems, evolutionary-fuzzy systems and evolutionaryneural systems. Applications to linear and non-linear systems arediscussed with examples. Key features: Covers all the aspects of fuzzy, neural and evolutionaryapproaches with worked out examples, MATLAB® exercises andapplications in each chapter

Intelligent Financial Portfolio Composition based on Evolutionary Computation Strategies

Intelligent Financial Portfolio Composition based on Evolutionary Computation Strategies
  • Author : Antonio Gorgulho,António M. S. B. S. Gorgulho,Rui F.M.F. Neves,Nuno Horta
  • Publisher : Springer Science & Business Media
  • Release : 27 September 2012
GET THIS BOOK Intelligent Financial Portfolio Composition based on Evolutionary Computation Strategies

The management of financial portfolios or funds constitutes a widely known problematic in financial markets which normally requires a rigorous analysis in order to select the most profitable assets. This subject is becoming popular among computer scientists which try to adapt known Intelligent Computation techniques to the market’s domain. This book proposes a potential system based on Genetic Algorithms, which aims to manage a financial portfolio by using technical analysis indicators. The results are promising since the approach clearly

Recent Advances in Swarm Intelligence and Evolutionary Computation

Recent Advances in Swarm Intelligence and Evolutionary Computation
  • Author : Xin-She Yang
  • Publisher : Springer
  • Release : 27 December 2014
GET THIS BOOK Recent Advances in Swarm Intelligence and Evolutionary Computation

This timely review volume summarizes the state-of-the-art developments in nature-inspired algorithms and applications with the emphasis on swarm intelligence and bio-inspired computation. Topics include the analysis and overview of swarm intelligence and evolutionary computation, hybrid metaheuristic algorithms, bat algorithm, discrete cuckoo search, firefly algorithm, particle swarm optimization, and harmony search as well as convergent hybridization. Application case studies have focused on the dehydration of fruits and vegetables by the firefly algorithm and goal programming, feature selection by the binary flower

Artificial Intelligence Evolutionary Computing and Metaheuristics

Artificial Intelligence  Evolutionary Computing and Metaheuristics
  • Author : Xin-She Yang
  • Publisher : Springer
  • Release : 27 July 2012
GET THIS BOOK Artificial Intelligence Evolutionary Computing and Metaheuristics

Alan Turing pioneered many research areas such as artificial intelligence, computability, heuristics and pattern formation. Nowadays at the information age, it is hard to imagine how the world would be without computers and the Internet. Without Turing's work, especially the core concept of Turing Machine at the heart of every computer, mobile phone and microchip today, so many things on which we are so dependent would be impossible. 2012 is the Alan Turing year -- a centenary celebration of the life

Introduction to Evolutionary Computing

Introduction to Evolutionary Computing
  • Author : A.E. Eiben,J.E. Smith
  • Publisher : Springer
  • Release : 01 July 2015
GET THIS BOOK Introduction to Evolutionary Computing

The overall structure of this new edition is three-tier: Part I presents the basics, Part II is concerned with methodological issues, and Part III discusses advanced topics. In the second edition the authors have reorganized the material to focus on problems, how to represent them, and then how to choose and design algorithms for different representations. They also added a chapter on problems, reflecting the overall book focus on problem-solvers, a chapter on parameter tuning, which they combined with the

Evolutionary Computation

Evolutionary Computation
  • Author : David B. Fogel
  • Publisher : Wiley-IEEE Press
  • Release : 24 January 2022
GET THIS BOOK Evolutionary Computation

"In-depth and updated, Evolutionary Computation shows you how to use simulated evolution to achieve machine intelligence. You will gain current insights into the history of evolutionary computation and the newest theories shaping research. Fogel carefully reviews the "no free lunch theorem" and discusses new theoretical findings that challenge some of the mathematical foundations of simulated evolution. This second edition also presents the latest game-playing techniques that combine evolutionary algorithms with neural networks, including their success in playing competitive checkers. Chapter