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Swarm Intelligence Based Optimization

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This book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Swarm Intelli... Weiterlesen
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Beschreibung

This book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Swarm Intelligence Based Optimization, ICSIBO 2016, held in Mulhouse, France, in June 2016. The 9 full papers presented were carefully reviewed and selected from 20 submissions. They are centered around the following topics: 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 forging, 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.



Inhalt

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 forging, 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.

Produktinformationen

Titel: Swarm Intelligence Based Optimization
Untertitel: Second International Conference, ICSIBO 2016, Mulhouse, France, June 13-14, 2016, Revised Selected Papers
Editor:
EAN: 9783319503073
Digitaler Kopierschutz: Wasserzeichen
Format: E-Book (pdf)
Hersteller: Springer International Publishing
Genre: IT & Internet
Anzahl Seiten: 125
Veröffentlichung: 25.11.2016
Dateigrösse: 17.8 MB

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