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GPEM
2006
127views more  GPEM 2006»
13 years 7 months ago
A hierarchical particle swarm optimizer for noisy and dynamic environments
New Particle Swarm Optimization (PSO) methods for dynamic and noisy function optimization are studied in this paper. The new methods are based on the hierarchical PSO (H-PSO) and a...
Stefan Janson, Martin Middendorf
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
IPPS
2007
IEEE
14 years 1 months ago
Distributed Adaptive Particle Swarm Optimizer in Dynamic Environment
Particle Swarm Optimization (PSO) is a population-based stochastic optimization technique, which can be used to find an optimal, or near optimal, solution to a numerical and quali...
Xiaohui Cui, Thomas E. Potok
AHS
2006
IEEE
127views Hardware» more  AHS 2006»
13 years 11 months ago
Using Hardware-Based Particle Swarm Method for Dynamic Optimization of Adaptive Array Antennas
The following article describes and discusses the suitability of the particle swarm optimization (PSO) for the employment with blind adaptation of the directional characteristic o...
Gabriella Kókai, Tonia Christ, Hans Holm Fr...
SYNASC
2008
IEEE
277views Algorithms» more  SYNASC 2008»
14 years 1 months ago
An Adaptive Particle Swarm Optimizer Using Balanced Explorative and Exploitative Behaviors
Particle Swarm Optimization (PSO) has recently emerged as a nature inspired algorithm for real parameter optimization. This article describes a method for improving the final accur...
Sayan Ghosh, Debarati Kundu, Kaushik Suresh, Swaga...