TY  - BOOK
AU  - Siarry,Patrick
AU  - Idoumghar,Lhassane
AU  - Lepagnot,Julien
ED  - SpringerLink (Online service)
TI  - Swarm Intelligence Based Optimization: Second International Conference, ICSIBO 2016, Mulhouse, France, June 13-14, 2016, Revised Selected Papers 
T2  - Theoretical Computer Science and General Issues
SN  - 9783319503073
AV  - QA76.9.A43 
U1  - 005.1 23
PY  - 2016///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Algorithms
KW  - Artificial intelligence
KW  - Architecture, Computer
KW  - Special purpose computers
KW  - Microprocessors
KW  - Computer science—Mathematics
KW  - Algorithm Analysis and Problem Complexity
KW  - Artificial Intelligence
KW  - Computer System Implementation
KW  - Special Purpose and Application-Based Systems
KW  - Processor Architectures
KW  - Discrete Mathematics in Computer Science
N1  - 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
N2  - 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
UR  - https://doi.org/10.1007/978-3-319-50307-3
ER  -