Advances in Swarm Intelligence

9th International Conference, ICSI 2018, Shanghai, China, June 17-22, 2018, Proceedings, Part II
Herausgegeben:Tan, Ying; Shi, Yuhui; Tang, Qirong

• Broschiertes Buch

Produktbeschreibung

The two-volume set of LNCS 10941 and 10942 constitutes the proceedings of the 9th International Conference on Advances in Swarm Intelligence, ICSI 2018, held in Shanghai, China, in June 2018. The total of 113 papers presented in these volumes was carefully reviewed and selected from 197 submissions. The papers were organized in topical sections namely: multi-agent systems; swarm robotics; fuzzy logic approaches; planning and routing problems; recommendation in social media; predication; classification; finding patterns; image enhancement; deep learning; theories and models of swarm intelligence; ant colony optimization; particle swarm optimization; artificial bee colony algorithms; genetic algorithms; differential evolution; fireworks algorithm; bacterial foraging optimization; artificial immune system; hydrologic cycle optimization; other swarm-based optimization algorithms; hybrid optimization algorithms; multi-objective optimization; large-scale global optimization.

Produktdetails

• Theoretical Computer Science and General Issues 10942
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-319-93817-2
• 1st ed. 2018
• Seitenzahl: 604
• Erscheinungstermin: 16. Juni 2018
• Englisch
• Abmessung: 235mm x 155mm x 33mm
• Gewicht: 902g
• ISBN-13: 9783319938172
• ISBN-10: 3319938177
• Artikelnr.: 52583782

Inhaltsangabe

Multi-agent systems.- swarm robotics.- fuzzy logic approaches.- planning and routing problems.- recommendation in social media.- predication.- classification.- finding patterns.- image enhancement.- deep learning.- theories and models of swarm intelligence.- ant colony optimization.- particle swarm optimization.- artificial bee colony algorithms.- genetic algorithms.- differential evolution.- fireworks algorithm.- bacterial foraging optimization.- artificial immune system.- hydrologic cycle optimization.- other swarm-based optimization algorithms.- hybrid optimization algorithms.- multi-objective optimization.- large-scale global optimization.