Swarm Intelligence Based Optimization, 1st ed. 2016 Second International Conference, ICSIBO 2016, Mulhouse, France, June 13-14, 2016, Revised Selected Papers Theoretical Computer Science and General Issues Series
Coordonnateurs : Siarry Patrick, Idoumghar Lhassane, Lepagnot Julien
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.
Includes supplementary material: sn.pub/extras
Date de parution : 11-2016
Ouvrage de 125 p.
15.5x23.5 cm
Thèmes de Swarm Intelligence Based Optimization :
Mots-clés :
distributed computing; genetic algorithm; hybridization; parallel computing; partical swarm optimization; artificial intelligence; classification; combinatorial optimization; continuous optimization; differential evolution; dynamic networks; graphics processing unit; health care; hybrid metaheuristic; image segmentation; memetic algorithm; metaheurisitcs; simulated annealing; topologies; wieghted graphs
