EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V
Language: English
Published by Springer International Publishing, 2014
- Softcover
- New
Seller: moluna, Greven, Germanymoluna
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Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Latest research on Probability, Set Oriented Numerics and volutionary ComputationResults of EVOLVE 2014 conference held July 1-4 2014 at Beijing, ChinaWritten by experts in the field of Evolutionary Computation and Intelligent Computing.
Seller Inventory # 4497896
- Title
- EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V
- Author
- 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.
- Publisher
- Springer International Publishing
- Publication year
- 2014
- Condition
- New
- Binding
- Kartoniert / Broschiert
- Language
- English
- ISBN 10
- 3319074938
- ISBN 13
- 9783319074931
- Seller catalogs
- Mathematik/Naturwissenschaften/Technik/Medizin
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.
"Synopsis" may belong to another edition of 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.
"About the title" may belong to another edition of this title.
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