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Dual Phase Evolution

  • Book
  • © 2014

Overview

  • Provides efficient Computational Problem Solving Techniques that require small computer memory

  • Offers a thorough computational approach to the problem

  • Provides the pseudo code for all computational methods used in the book so readers can adopt the code in their own problems

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Table of contents (7 chapters)

  1. Dual Phase Evolution: An Introduction

  2. Basics of Networks and Problem Solving

  3. Dual Phase Evolution for Network Generation and Problem Solving

Keywords

About this book

The aim of the book is to lay out the foundations and provide a detailed treatment of the subject. It will focus on two main elements in dual phase evolution: the relationship between dual phase evolution and other phase transition phenomena and the advantages of dual phase evolution in evolutionary computation and complex adaptive systems. The book will provide a coherent picture of dual phase evolution that encompasses these two elements and frameworks, methods and techniques to use this concept for problem solving.

Authors and Affiliations

  • Faculty of Information Technology, Monash University Ctr. for Research on Intelligent Systems, Clayton, Australia

    David G. Green

  • Xidian University, Xi'an, People's Republic of China

    Jing Liu

  • School of Eng. and Information Tech. Australian Defence Force Academy, University of New South Wales, Canberra, Australia

    Hussein A. Abbass

Bibliographic Information

  • Book Title: Dual Phase Evolution

  • Authors: David G. Green, Jing Liu, Hussein A. Abbass

  • DOI: https://doi.org/10.1007/978-1-4419-8423-4

  • Publisher: Springer New York, NY

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer Science+Business Media New York 2014

  • Hardcover ISBN: 978-1-4419-8422-7Published: 13 November 2013

  • Softcover ISBN: 978-1-4939-4182-7Published: 23 August 2016

  • eBook ISBN: 978-1-4419-8423-4Published: 12 November 2013

  • Edition Number: 1

  • Number of Pages: XXVI, 196

  • Number of Illustrations: 54 b/w illustrations, 15 illustrations in colour

  • Topics: Mathematical and Computational Engineering, Complexity, Computer Systems Organization and Communication Networks

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