Atjaunināt sīkdatņu piekrišanu

Artificial Evolution: 13th International Conference, Évolution Artificielle, EA 2017, Paris, France, October 2527, 2017, Revised Selected Papers 2018 ed. [Mīkstie vāki]

Edited by , Edited by , Edited by , Edited by , Edited by
  • Formāts: Paperback / softback, 231 pages, height x width: 235x155 mm, weight: 454 g, 77 Illustrations, black and white; XVI, 231 p. 77 illus., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 10764
  • Izdošanas datums: 20-Mar-2018
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319781324
  • ISBN-13: 9783319781327
  • Mīkstie vāki
  • Cena: 46,91 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Standarta cena: 55,19 €
  • Ietaupiet 15%
  • Grāmatu piegādes laiks ir 3-4 nedēļas, ja grāmata ir uz vietas izdevniecības noliktavā. Ja izdevējam nepieciešams publicēt jaunu tirāžu, grāmatas piegāde var aizkavēties.
  • Daudzums:
  • Ielikt grozā
  • Piegādes laiks - 4-6 nedēļas
  • Pievienot vēlmju sarakstam
  • Formāts: Paperback / softback, 231 pages, height x width: 235x155 mm, weight: 454 g, 77 Illustrations, black and white; XVI, 231 p. 77 illus., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 10764
  • Izdošanas datums: 20-Mar-2018
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319781324
  • ISBN-13: 9783319781327

This book constitutes the thoroughly refereed post-conference proceedings of the 13th International Conference on Artificial Evolution, EA 2017, held in Paris, France, in October 2017.

 The 16 revised papers were carefully reviewed and selected from 33 submissions. The papers cover a wide range of topics in the field of artificial evolution, such as evolutionary computation, evolutionary optimization, co-evolution, artificial life, population dynamics, theory, algorithmics and modeling, implementations, application of evolutionary paradigms to the real world (industry, biosciences, ...), other biologically-inspired paradigms (swarm, artificial ants, artificial immune systems, cultural algorithms...), memetic algorithms, multi-objective optimisation, constraint handling, parallel algorithms,, dynamic optimization, machine learning and hybridization with other soft computing techniques.