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

Patrick Siarry (u. a.)

ISBN 10: 3319129694 / ISBN 13: 9783319129693

Published by Springer, 2014

About this Item

Swarm Intelligence Based Optimization | First International Conference, ICSIBO 2014, Mulhouse, France, May 13-14, 2014. Revised Selected Papers | Patrick Siarry (u. a.) | Taschenbuch | Lecture Notes in Computer Science | x | Englisch | 2014 | Springer | EAN 9783319129693 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 105048906

Bibliographic Details

• Title: Swarm Intelligence Based Optimization | First International Conference, ICSIBO 2014, Mulhouse, France, May 13-14, 2014. Revised Selected Papers
• Publisher: Springer
• Publication Date: 2014
• Language: English
• ISBN 10: 3319129694
• ISBN 13: 9783319129693
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 12D millimeters 235 millimeters width by 155 millimeters height by 12 millimeters depth
• Weight: 318 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.