Swarm Intelligence Based Optimization

. Ed(s): Siarry, Patrick; Idoumghar, Lhassane; Lepagnot, Julien

ISBN 10: 3319129694 / ISBN 13: 9783319129693

Editore: Springer International Publishing AG, 2014

Editor(s): Siarry, Patrick; Idoumghar, Lhassane; Lepagnot, Julien. Series: Lecture Notes in Computer Science / Theoretical Computer Science and General Issues. Num Pages: 203 pages, 55 black & white illustrations, biography. BIC Classification: UMB; UNH; UYQ; UYZG. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 11. Weight in Grams: 320. . 2014. Paperback. . . . . Books ship from the US and Ireland. Codice articolo V9783319129693

Riassunto:

This book constitutes the thoroughly refereed post-conference proceedings of the 1st International Conference on Swarm Intelligence Based Optimization, ICSIBO 2014, held in Mulhouse, France, in May 2014. The 20 full papers presented were carefully reviewed and selected from 48 submissions. Topics of interest presented and discussed in the conference focuses on the theoretical progress of swarm intelligence metaheuristics and their applications in areas such as: theoretical advances of swarm intelligence metaheuristics, combinatorial, discrete, binary, constrained, multi-objective, multi-modal, dynamic, noisy, and large-scale optimization, artificial immune systems, particle swarms, ant colony, bacterial foraging, artificial bees, fireflies algorithm, hybridization of algorithms, parallel/distributed computing, machine learning, data mining, data clustering, decision making and multi-agent systems based on swarm intelligence principles, adaptation and applications of swarm intelligence principles to real world problems in various domains.

Dalla quarta di copertina: This book constitutes the thoroughly refereed post-conference proceedings of the 1st International Conference on Swarm Intelligence Based Optimization, ICSIBO 2014, held in Mulhouse, France, in May 2014.
The 20 full papers presented were carefully reviewed and selected from 48 submissions. Topics of interest presented and discussed in the conference focuses on the theoretical progress of swarm intelligence metaheuristics and their applications in areas such as: theoretical advances of swarm intelligence metaheuristics, combinatorial, discrete, binary, constrained, multi-objective, multi-modal, dynamic, noisy, and large-scale optimization, artificial immune systems, particle swarms, ant colony, bacterial foraging, artificial bees, fireflies algorithm, hybridization of algorithms, parallel/distributed computing, machine learning, data mining, data clustering, decision making and multi-agent systems based on swarm intelligence principles, adaptation and applications of swarm intelligence principles to real world problems in various domains.

Dati bibliografici

Titolo: Swarm Intelligence Based Optimization
Casa editrice: Springer International Publishing AG
Data di pubblicazione: 2014
Legatura: Brossura
Condizione: New