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Advances in Swarm Intelligence -

Advances in Swarm Intelligence

9th International Conference, ICSI 2018, Shanghai, China, June 17-22, 2018, Proceedings, Part I

Ying Tan, Yuhui Shi, Qirong Tang (Herausgeber)

Buch | Softcover
XXIV, 639 Seiten
2018 | 1st ed. 2018
Springer International Publishing (Verlag)
978-3-319-93814-1 (ISBN)
CHF 74,85 inkl. MwSt

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

Erscheinungsdatum
Reihe/Serie Lecture Notes in Computer Science
Theoretical Computer Science and General Issues
Zusatzinfo XXIV, 639 p. 183 illus.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 989 g
Themenwelt Informatik Theorie / Studium Algorithmen
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Schlagworte Applications • Artificial Intelligence • Clustering • Computer Science • conference proceedings • Differential evolution • evolutionary algorithms • Genetic algorithms • hybrid optimization algorithms • Informatics • Learning Algorithms • local optima • Multi-agent Systems • Multiobjective Optimization • Pareto principle • particle swarm optimization (PSO) • Problem Solving • Research • sensors • Signal Processing • Software engineering • Swarm intelligence • swarm robotics • wireless sensor networks
ISBN-10 3-319-93814-2 / 3319938142
ISBN-13 978-3-319-93814-1 / 9783319938141
Zustand Neuware
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