Swarm Intelligence Based Optimization
Swarm Intelligence Based Optimization (Lecture Notes in Computer Science) by Patrick Siarry
English | 31 Dec. 2014 | ISBN: 3319129694 | 204 Pages | PDF | 10 MB
English | 31 Dec. 2014 | ISBN: 3319129694 | 204 Pages | PDF | 10 MB
Topics of interest presented and discussed in the conference focuses on the theoretical progress of swarm intelligence metaheuristics and their applications in areas such as: 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 foraging, 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.