Advances in Swarm Intelligence 8th International Conference, ICSI 2017, Fukuoka, Japan, July 27 - August 1, 2017, Proceedings, Part I

The two-volume set of LNCS 10385 and 10386, constitutes the proceedings of the 8th International Confrence on Advances in Swarm Intelligence, ICSI 2017, held in Fukuoka, Japan, in July/August 2017. 
The total of 133 papers presented in these volumes was carefully reviewed and selected from 267 submissions. The paper were organized in topical sections as follows:

Part I: theories and models of swarm intelligence; novel swarm-based optimization algorithms; particle swarm optimization; applications of particle swarm optimization; ant colony optimization; artificial bee colony algorithms; genetic algorithms; differential evolution; fireworks algorithm; brain storm optimization algorithm; cuckoo searh; and firefly algorithm. Part II: multi-objective optimization; portfolio optimization; community detection; multi-agent systems and swarm robotics; hybrid optimization algorithms and applications; fuzzy and swarm approach; clustering and forecast; classification and detection; planning and routing problems; dialog system applications; robotic control; and other applications. 

Zusammenfassung

The two-volume set of LNCS 10385 and 10386, constitutes the proceedings of the 8th International Confrence on Advances in Swarm Intelligence, ICSI 2017, held in Fukuoka, Japan, in July/August 2017. 


The total of 133 papers presented in these volumes was carefully reviewed and selected from 267 submissions. The paper were organized in topical sections as follows:



Part I: theories and models of swarm intelligence; novel swarm-based optimization algorithms; particle swarm optimization; applications of particle swarm optimization; ant colony optimization; artificial bee colony algorithms; genetic algorithms; differential evolution; fireworks algorithm; brain storm optimization algorithm; cuckoo searh; and firefly algorithm. Part II: multi-objective optimization; portfolio optimization; community detection; multi-agent systems and swarm robotics; hybrid optimization algorithms and applications; fuzzy and swarm approach; clustering and forecast; classification and detection; planning and routing problems; dialog system applications; robotic control; and other applications. 

Produktdetails

• Mitarbeit: Ying Tan (Herausgeber), Hideyuki Takagi (Herausgeber), Yuhui Shi (Herausgeber), Hideyuk Takagi (Herausgeber)
• Verlag: Springer, Berlin
• Inhalt: Buch
• Produktform: Taschenbuch
• Erscheinungsdatum: 31.07.2017
• Thema: Naturwissenschaften, Medizin, Informatik, Technik > Mathematik > Wahrscheinlichkeitstheorie, Stochastik, Mathematis
• EAN: 9783319618234
• ISBN: 978-3-31-961823-4
• Anzahl Seiten: 631
• Illustration: XXVII, 631 p. 184 illus.
• Abmessung (Verpackung): 15.6 x 3.5 x 23.7 cm
• Gewicht (Verpackung): 984 g
• Serie: Lecture Notes in Computer Science > 10385; Theoretical Computer Science and General Issues; Lecture Notes in Computer Science; Theoretical Computer Science and General Issues
• Themen: Expertensystem, C, Künstliche Intelligenz, Algorithmen und Datenstrukturen, Data Mining, Algorithms, Artificial Intelligence, Algorithmus, Recherche - Information Retrieval, Informationsrückgewinnung, Information Retrieval, Computermodellierung und -simulation, Datenverarbeitung / Simulation, 3D-Grafik und Modellierung, Roboter - Robotik - Industrieroboter, Theoretische Informatik, Mathematik / Informatik, Computer, Data Mining (EDV), Wissensbasierte Systeme, Expertensysteme, Wissensbasiertes System, Numerische Mathematik, COMPUTERS / Programming / Algorithms, artificial intelligence; genetic algorithms; evolutionary algorithms; particle swarm optimization; pso; differential evolution; learning algorithms; robots; wireless telecommunication systems; meta heuristics; wireless sensor networks; telecommunicat, computer science, Data Mining and Knowledge Discovery, Numerical analysis, Mathematical theory of computation, Algorithm Analysis and Problem Complexity, Computer simulation, Computer modelling & simulation, Simulation and Modeling, Expert systems / knowledge-based systems, Numeric Computing, Computer Modelling