Advances in Swarm Intelligence, Part II
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Advances in Swarm Intelligence, Part II

Second International Conference, ICSI 2011, Chongqing, China, June 12-15, 2011, Proceedings, Part II
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ISBN-13:
9783642215247
Veröffentl:
2011
Einband:
PDF
Seiten:
587
Autor:
Yi Chai
Serie:
Lecture Notes in Computer Science
eBook Typ:
PDF
eBook Format:
PDF
Kopierschutz:
Adobe DRM [Hard-DRM]
Sprache:
Englisch
Beschreibung:

The two-volume set (LNCS 6728 and 6729) constitutes the refereedproceedings of the International Conference on Swarm Intelligence, ICSI2011, held in Chongqing, China, in June 2011.The 143 revised full papers presented were carefully reviewed and selected from 298 submissions. The papers are organized in topical sections on theoretical analysis of swarm intelligence algorithms, particle swarm optimization, applications of pso algorithms, ant colony optimization algorithms, bee colony algorithms, novel swarm-based optimization algorithms, artificial immune system, differential evolution, neural networks, genetic algorithms, evolutionary computation, fuzzy methods, and hybrid algorithms - for part I. Topics addressed in part II are such as multi-objective optimization algorithms, multi-robot, swarm-robot, and multi-agent systems, data mining methods, machine learning methods, feature selection algorithms, pattern recognition methods, intelligent control, other optimization algorithms and applications, data fusion and swarm intelligence, as well as fish school search - foundations and applications.
The two-volume set (LNCS 6728 and 6729) constitutes the refereedproceedings of the International Conference on Swarm Intelligence, ICSI2011, held in Chongqing, China, in June 2011.The 143 revised full papers presented were carefully reviewed and selected from 298 submissions. The papers are organized in topical sections on theoretical analysis of swarm intelligence algorithms, particle swarm optimization, applications of pso algorithms, ant colony optimization algorithms, bee colony algorithms, novel swarm-based optimization algorithms, artificial immune system, differential evolution, neural networks, genetic algorithms, evolutionary computation, fuzzy methods, and hybrid algorithms - for part I. Topics addressed in part II are such as multi-objective optimization algorithms, multi-robot, swarm-robot, and multi-agent systems, data mining methods, machine learning methods, feature selection algorithms, pattern recognition methods, intelligent control, other optimization algorithms and applications, data fusion and swarm intelligence, as well as fish school search - foundations and applications.

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