EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V (Advances in Intelligent Systems and Computing, 288)

ISBN 10: 3319074938 / ISBN 13: 9783319074931

Verlag: Springer, 2014

Beschreibung

Bestandsnummer des Verkäufers ABLIING23Mar3113020087534

Bibliografische Details

Titel: EVOLVE - A Bridge between Probability, Set ...

Verlag: Springer

Erscheinungsdatum: 2014

Einband: Softcover

Zustand: New

Über diesen Titel

Inhaltsangabe:

<P>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.</P>

Reseña del editor:

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.