Advances in Swarm Intelligence, Part I: Second International Conference, ICSI 2011, Chongqing, China, June 12-15, 2011, Proceedings, Part I: Lecture Notes in Computer Science, cartea 6728
Editat de Ying Tan, Yuhui Shi, Yi Chai, Guoyin Wangen Limba Engleză Paperback – 26 mai 2011
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Specificații
ISBN-13: 9783642215148
ISBN-10: 3642215149
Pagini: 662
Ilustrații: XXVI, 639 p. 213 illus., 125 illus. in color.
Dimensiuni: 155 x 235 x 35 mm
Greutate: 1.02 kg
Ediția:2011
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642215149
Pagini: 662
Ilustrații: XXVI, 639 p. 213 illus., 125 illus. in color.
Dimensiuni: 155 x 235 x 35 mm
Greutate: 1.02 kg
Ediția:2011
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchTextul de pe ultima copertă
The two-volume set (LNCS 6728 and 6729) constitutes the refereed proceedings of the International Conference on Swarm Intelligence, ICSI 2011, 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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