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Titolo: | Swarm Intelligence Based Optimization : Second International Conference, ICSIBO 2016, Mulhouse, France, June 13-14, 2016, Revised Selected Papers / / edited by Patrick Siarry, Lhassane Idoumghar, Julien Lepagnot |
Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
Edizione: | 1st ed. 2016. |
Descrizione fisica: | 1 online resource (IX, 125 p. 56 illus.) |
Disciplina: | 006.3 |
Soggetto topico: | Algorithms |
Artificial intelligence | |
Computer systems | |
Computers, Special purpose | |
Microprocessors | |
Computer architecture | |
Computer science—Mathematics | |
Discrete mathematics | |
Artificial Intelligence | |
Computer System Implementation | |
Special Purpose and Application-Based Systems | |
Processor Architectures | |
Discrete Mathematics in Computer Science | |
Persona (resp. second.): | SiarryPatrick |
IdoumgharLhassane | |
LepagnotJulien | |
Nota di contenuto: | 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. |
Sommario/riassunto: | 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. |
Titolo autorizzato: | Swarm Intelligence Based Optimization |
ISBN: | 3-319-50307-3 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910484854103321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |