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EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V

  • Conference proceedings
  • © 2014

Overview

  • Latest research on Probability, Set Oriented Numerics and volutionary Computation
  • Results of EVOLVE 2014 conference held July 1-4 2014 at Beijing, China
  • Written by experts in the field of Evolutionary Computation and Intelligent Computing

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 288)

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Table of contents (22 papers)

  1. Set Oriented Numerics

  2. Computational Game Theory

  3. Machine Learning Applied to Networks

  4. Complex Networks and Landscape Analysis

  5. Local Search and Optimization

  6. Genetic Programming

Keywords

About this book

This volume encloses research articles that were presented at the EVOLVE 2014 International Conference in Beijing, China, July 1–4, 2014. The book gathers contributions that emerged from the conference tracks, ranging from probability to set oriented numerics and evolutionary computation; all complemented by the bridging purpose of the conference, e.g. Complex Networks and Landscape Analysis, or by the more application oriented perspective. The novelty of the volume, when considering the EVOLVE series, comes from targeting also the practitioner’s view. This is supported by the Machine Learning Applied to Networks and Practical Aspects of Evolutionary Algorithms tracks, providing surveys on new application areas, as in the networking area and useful insights in the development of evolutionary techniques, from a practitioner’s perspective. Complementary to these directions, the conference tracks supporting the volume, follow on the individual advancements of the subareas constituting the scope of the conference, through the Computational Game Theory, Local Search and Optimization, Genetic Programming, Evolutionary Multi-objective optimization tracks.

Editors and Affiliations

  • Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg, Luxembourg

    Alexandru-Adrian Tantar, Emilia Tantar

  • School of Engineering, University of California, Merced, USA

    Jian-Qiao Sun

  • College of Mechanical Engineering, Beijing University of Technology, Beijing, China

    Wei Zhang

  • Department of Mechanics, Tianjin University, Tianjin, China

    Qian Ding

  • Depto. Computación, CINVESTAV-IPN, Mexico City, Mexico

    Oliver Schütze

  • Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands

    Michael Emmerich

  • Université de Bordeaux, Bordeaux, France

    Pierrick Legrand

  • School of Mathematics and Statistics, University of New South Wales, Sydney, Australia

    Pierre Del Moral

  • Computer Science Department, CINVESTAV-IPN, Mexico City, Mexico

    Carlos A. Coello Coello

Bibliographic Information

  • Book Title: EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V

  • Editors: Alexandru-Adrian Tantar, Emilia Tantar, Jian-Qiao Sun, Wei Zhang, Qian Ding, Oliver Schütze, Michael Emmerich, Pierrick Legrand, Pierre Del Moral, Carlos A. Coello Coello

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-319-07494-8

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2014

  • Softcover ISBN: 978-3-319-07493-1Published: 24 June 2014

  • eBook ISBN: 978-3-319-07494-8Published: 04 June 2014

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XIV, 336

  • Number of Illustrations: 69 b/w illustrations, 37 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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