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ISNN
2010
Springer
13 years 5 months ago
Particle Swarm Optimization Based Learning Method for Process Neural Networks
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
Kun Liu, Ying Tan, Xingui He
TCS
2010
13 years 5 months ago
Runtime analysis of a binary particle swarm optimizer
We investigate the runtime of a Binary Particle Swarm Optimizer (PSO) for optimizing pseudo-Boolean functions f : {0, 1}n → R. The Binary PSO maintains a swarm of particles sear...
Dirk Sudholt, Carsten Witt
GECCO
2006
Springer
187views Optimization» more  GECCO 2006»
13 years 11 months ago
The gregarious particle swarm optimizer (G-PSO)
This paper presents a gregarious particle swarm optimization algorithm (G-PSO) in which the particles explore the search space by aggressively scouting the local minima with the h...
Srinivas Pasupuleti, Roberto Battiti
ANTSW
2006
Springer
13 years 11 months ago
An Estimation of Distribution Particle Swarm Optimization Algorithm
Abstract. In this paper we present an estimation of distribution particle swarm optimization algorithm that borrows ideas from recent developments in ant colony optimization. In th...
Mudassar Iqbal, Marco Antonio Montes de Oca
ICMLA
2004
13 years 8 months ago
A new discrete binary particle swarm optimization based on learning automata
: The particle swarm is one of the most powerful methods for solving global optimization problems. This method is an adaptive algorithm based on social-psychological metaphor. A po...
Reza Rastegar, Mohammad Reza Meybodi, Kambiz Badie