Swarm Intelligence Based Optimization [[electronic resource] ] : 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.: 996465488603316
• Lo trovi qui: Univ. di Salerno
• Serie: Theoretical Computer Science and General Issues, . 2512-2029 ; ; 10103