EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V | ISBN 9783319074948

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

herausgegeben von Alexandru-Adrian Tantar und weiteren
Mitwirkende
Herausgegeben vonAlexandru-Adrian Tantar
Herausgegeben vonEmilia Tantar
Herausgegeben vonJian-Qiao Sun
Herausgegeben vonWei Zhang
Herausgegeben vonQian Ding
Herausgegeben vonOliver Schütze
Herausgegeben vonMichael Emmerich
Herausgegeben vonPierrick Legrand
Herausgegeben vonPierre Del Moral
Herausgegeben vonCarlos A. Coello Coello
Buchcover EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V  | EAN 9783319074948 | ISBN 3-319-07494-6 | ISBN 978-3-319-07494-8

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

herausgegeben von Alexandru-Adrian Tantar und weiteren
Mitwirkende
Herausgegeben vonAlexandru-Adrian Tantar
Herausgegeben vonEmilia Tantar
Herausgegeben vonJian-Qiao Sun
Herausgegeben vonWei Zhang
Herausgegeben vonQian Ding
Herausgegeben vonOliver Schütze
Herausgegeben vonMichael Emmerich
Herausgegeben vonPierrick Legrand
Herausgegeben vonPierre Del Moral
Herausgegeben vonCarlos A. Coello Coello

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.