Titolo: Evolve: A Bridge Between Probability, Set Oriented Numerics, and Evolutionary Computation V
Editore: Springer-Verlag New York Inc
Data di pubblicazione: 2014
Lingua: Inglese
ISBN 10: 3319074938
ISBN 13: 9783319074931
Rilegatura: Paperback
Condizione: Brand New
Peso: 0,39 chilogrammi

Descrizione articolo

Riassunto

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.

Dalla quarta di copertina

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.

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