Swarm Intelligence Based Optimization - First International Conference, ICSIBO 2014, Mulhouse, France, May 13-14, 2014. Revised Selected Papers (Paperback, 2014 ed.)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Theoretical Computer Science and General Issues, 8472
Release date:	December 2014
First published:	2014
Editors:	Patrick Siarry • Lhassane Idoumghar • Julien Lepagnot
Dimensions:	235 x 155 x 11mm (L x W x T)
Format:	Paperback
Pages:	193
Edition:	2014 ed.
ISBN-13:	978-3-319-12969-3
Categories:	Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Social & legal aspects of computing > Human-computer interaction Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-319-12969-4
Barcode:	9783319129693

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