26 search results - page 5 / 6 » Optimization of a Kraft Pulping System: Using Particle Swarm... |
ATAL
2007
Springer
13 years 9 months ago
2007
Springer
Multi-Agent Agreement problems (MAP) - the ability of a population of agents to search out and converge on a common state - are central issues in many multi-agent settings, from d...
AEI
2005
13 years 5 months ago
2005
Evolutionary algorithms (EAs) are stochastic search methods that mimic the natural biological evolution and/or the social behavior of species. Such algorithms have been developed ...
TFS
2008
13 years 4 months ago
2008
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
CEC
2010
IEEE
13 years 6 months ago
2010
IEEE
The Nelder-Mead Algorithm (NMA) is an almost half-century old method for numerical optimization, and it is a close relative of Particle Swarm Optimization (PSO) and Differential Ev...
GECCO
2006
Springer
13 years 9 months ago
2006
Springer
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...