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

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Oliver Schuetze

    1. , Depto. de Computacion, CINVESTAV-IPN, Mexico, Mexico

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  2. Carlos A. Coello Coello

    1. , Depto. de Computatción, CINVESTAV-IPN, Mexico, Mexico

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  3. Alexandru-Adrian Tantar

    1. , Computer Science and, University of Luxembourg, Luxembourg, Luxembourg

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  4. Emilia Tantar

    1. , Luxembourg Centre for, University of Luxembourg, Belval, Luxembourg

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  5. Pascal Bouvry

    1. , Faculty of Sci., Tech. & Communication, University of Luxembourg, Luxembourg, Luxembourg

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  6. Pierre Del Moral

    1. , Bordeaux Mathematical Institute, Université Bordeaux I, Talence cedex, France

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  7. Pierrick Legrand

    1. , UFR Sciences et Modélisation, Université Bordeaux Segalen, Bordeaux, France

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  • Latest research on Probability, Set Oriented Numerics, and Evolutionary Computation
  • Results of the EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation meeting held 2012 in Mexico City
  • Written by experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 500)

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About this book

This book comprises a selection of extended abstracts and papers presented at the EVOLVE 2012 held in Mexico City, Mexico. The aim of the EVOLVE is to build a bridge between probability, set oriented numerics, and evolutionary computation as to identify new common and challenging research aspects.

The conference is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background. EVOLVE aims to unify theory-inspired methods and cutting-edge techniques ensuring performance guarantee factors. By gathering researchers with different backgrounds, a unified view and vocabulary can emerge where the theoretical advancements may echo in different domains.

Summarizing, the EVOLVE conference focuses on challenging aspects arising at the passage from theory to new paradigms and aims to provide a unified view while raising questions related to reliability, performance guarantees, and modeling. The extended papers of the EVOLVE 2012 make a contribution to this goal.

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Keywords

Table of contents (11 papers)

  1. Front Matter

    Pages 1-15
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  2. Probabilistic Modeling

    1. Front Matter

      Pages 1-1
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    2. Effective Structure Learning in Bayesian Network Based EDAs

      • S. Ivvan Valdez, Arturo Hernández, Salvador Botello
      Pages 3-30

    3. Optimization by Structure Learning during Algorithm Execution Using an Adaptive Extended Tree Cliqued – EDA (AETC – EDA)

      • Eunice Esther Ponce-de-Leon-Senti, Elva Diaz-Diaz
      Pages 31-52

    4. Support Tool for a Bayesian Network Based Critical Infrastructure Risk Model

      • Thomas Schaberreiter, Pascal Bouvry, Juha Röning, Djamel Khadraoui
      Pages 53-75

    5. Challenges on Probabilistic Modeling for Evolving Networks

      • Jianguo Ding, Pascal Bouvry
      Pages 77-93

  3. Evolutionary Computation for Vision, Graphics, and Robotics

    1. Front Matter

      Pages 95-95
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    2. Evolving an Artificial Visual Cortex for Object Recognition with Brain Programming

      • Gustavo Olague, Eddie Clemente, León Dozal, Daniel E. Hernández
      Pages 97-119

    3. Optimizing a Conspicuous Point Detector for Camera Trajectory Estimation with Brain Programming

      • Daniel E. Hernández, Gustavo Olague, Eddie Clemente, León Dozal
      Pages 121-140

    4. Optimizing an Artificial Dorsal Stream on Purpose for Visual Attention

      • Gustavo Olague, León Dozal, Eddie Clemente, Arturo Ocampo
      Pages 141-166

  4. Multi-objective Optimization

    1. Front Matter

      Pages 167-167
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    2. Time Complexity and Zeros of the Hypervolume Indicator Gradient Field

      • Michael Emmerich, André Deutz
      Pages 169-193

    3. A Multi-Directional Modified Physarum Algorithm for Optimal Multi-Objective Discrete Decision Making

      • L. Masi, M. Vasile
      Pages 195-212

    4. A Combined Pareto Differential Evolution Approach for Multi-objective Optimization

      • Oluwatosin Olofintoye, Josiah Adeyemo, Fred Otieno
      Pages 213-231

    5. PSA Based Multi Objective Evolutionary Algorithms

      • Shaul Salomon, Christian Domínguez-Medina, Gideon Avigad, Alan Freitas, Alex Goldvard, Oliver Schütze et al.
      Pages 233-259

  5. Back Matter

    Pages 261-261
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Editors and Affiliations

  • , Depto. de Computacion, CINVESTAV-IPN, Mexico, Mexico

    Oliver Schuetze

  • , Depto. de Computatción, CINVESTAV-IPN, Mexico, Mexico

    Carlos A. Coello Coello

  • , Computer Science and, University of Luxembourg, Luxembourg, Luxembourg

    Alexandru-Adrian Tantar

  • , Luxembourg Centre for, University of Luxembourg, Belval, Luxembourg

    Emilia Tantar

  • , Faculty of Sci., Tech. & Communication, University of Luxembourg, Luxembourg, Luxembourg

    Pascal Bouvry

  • , Bordeaux Mathematical Institute, Université Bordeaux I, Talence cedex, France

    Pierre Del Moral

  • , UFR Sciences et Modélisation, Université Bordeaux Segalen, Bordeaux, France

    Pierrick Legrand

Bibliographic Information

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

  • Editors: Oliver Schuetze, Carlos A. Coello Coello, Alexandru-Adrian Tantar, Emilia Tantar, Pascal Bouvry, Pierre Del Moral, Pierrick Legrand

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-319-01460-9

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2014

  • Hardcover ISBN: 978-3-319-01459-3Published: 06 August 2013

  • Softcover ISBN: 978-3-319-03363-1Published: 08 August 2015

  • eBook ISBN: 978-3-319-01460-9Published: 23 July 2013

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XVIII, 259

  • Topics: Computational Intelligence, Artificial Intelligence

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