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

Softcover

ISBN 10: 3319074938 ISBN 13: 9783319074931

Publisher: Springer, 2014

Synopsis

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.

About this title

From the Back Cover

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.

Edition details

• Publisher: Springer
• Publication date: 2014
• Language: English
• ISBN 10: 3319074938
• ISBN 13: 9783319074931
• Binding: Paperback
• Number of pages: 350
• Editor: Tantar Alexandru-Adrian, Tantar Emilia, Sun Jian-Qiao, Zhang Wei, Ding Qian, Schütze Oliver, Emmerich Michael, Legrand Pierrick, Del Moral Pierre, Coello Coello Carlos A.