Artificial Evolution [electronic resource] : 12th International Conference, Evolution Artificielle, EA 2015, Lyon, France, October 26-28, 2015. Revised Selected Papers / edited by Stéphane Bonnevay, Pierrick Legrand, Nicolas Monmarché, Evelyne Lutton, Marc Schoenauer.
Material type: TextSeries: Theoretical Computer Science and General Issues ; 9554 | Lecture Notes in Computer Science ; 9554Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Edition: 1st ed. 2016Description: XII, 249 p. 93 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319314716Subject(s): Artificial intelligence | Computers | Algorithms | Information storage and retrieval | Numerical analysis | Pattern recognition | Artificial Intelligence | Computation by Abstract Devices | Algorithm Analysis and Problem Complexity | Information Storage and Retrieval | Numeric Computing | Pattern RecognitionAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 LOC classification: Q334-342Online resources: Click here to access onlineCurrent library | Home library | Call number | Materials specified | URL | Status | Date due | Barcode |
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IMSc Library | IMSc Library | Link to resource | Available | EBK15281 |
Evolutionary Computation -- Evolutionary Optimization, Co-evolution, -- Artificial Life -- Population Dynamics -- Theory, Algorithmics and Modeling -- Implementations -- Application of Evolutionary Paradigms to the Real World.
This book constitutes the thoroughly refereed post-conference proceedings of the 12th International Conference on Artificial Evolution, EA 2015, held in Lyon, France, in October 2015. The 18 revised papers were carefully reviewed and selected from 31 submissions. The focus of the conference is on following topics: Evolutionary Computation, Evolutionary Optimization, Co-evolution, Artificial Life, Population Dynamics, Theory, Algorithmics and Modeling, Implementations, Application of Evolutionary Paradigms to the Real World, Dynamic Optimization, Machine Learning and hybridization with other soft computing techniques.
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