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Simulated Evolution and Learning  - 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008, Proceedings
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Simulated Evolution and Learning

7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008, Proceedings

2008 - Erschienen 2008.

Neubindung, Buchrücken, -ecken u. -kanten leicht angestossen 4919012/12
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evolutionary algorithm, artificial neural networks, adaptive systems, classification, Scheduling, genetic programming, collective behaviour, ant colony optimization, ant colonies, algorithms, artificial life, Alife, metaheuristic, ants, artificial societies,

Produktart:
📚 Bücher
Autor(en):
Li, Xiaodong, Michael Kirley und Mengjie Zhang:
Anbieter:
Buchpark GmbH
Bestell-Nr.:
491901212
Katalog:
Varia
ISBN | EAN:
3540896937 | 9783540896937
Stichworte:
evolutionary, algorithm, artificial, neural, networks, adaptive, systems, classification, Scheduling, genetic, programming, collective, behaviour, colony, optimization, colonies, algorithms, life, Alife, metaheuristic, ants, societies
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Gebraucht, sehr gut 63,62 EUR 57,26 EUR Kostenloser Versand
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Simulated Evolution and Learning  - 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008, Proceedings
Simulated Evolution and Learning
Gebraucht, sehr gut
63,62 EUR 57,26 EUR
Kostenloser Versand
This LNCS volume contains the papers presented at SEAL 2008, the 7th Int- nationalConference on Simulated Evolutionand Learning,held December 7¿10, 2008, in Melbourne, Australia. SEAL is a prestigious international conference series in evolutionary computation and learning. This biennial event was ?rst held in Seoul, Korea, in 1996, and then in Canberra, Australia (1998), Nagoya, Japan (2000), Singapore (2002), Busan, Korea (2004), and Hefei, China (2006). SEAL 2008 received 140 paper submissions from more than 30 countries. After a rigorous peer-review process involving at least 3 reviews for each paper (i.e., over 420 reviews in total), the best 65 papers were selected to be presented at the conference and included in this volume, resulting in an acceptance rate of about 46%. The papers included in this volume cover a wide range of topics in simulated evolution and learning: from evolutionarylearning to evolutionary optimization, from hybrid systems to adaptive systems, from theoretical issues to real-world applications. They represent some of the latest and best research in simulated evolution and learning in the world.
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