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» Dynamic-probabilistic particle swarms
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CEC
2008
IEEE
15 years 11 months ago
Dynamic adaptation and multiobjective concepts in a particle swarm optimizer for constrained optimization
— In this paper, we propose a novel approach to solve constrained optimization problems based on particle swarm optimization (PSO). First, an empirical comparison of the most pop...
Jorge Isacc Flores-Mendoza, Efrén Mezura-Mo...
180
Voted
HICSS
2007
IEEE
141views Biometrics» more  HICSS 2007»
15 years 11 months ago
Social Decision Making with Multi-Relational Networks and Grammar-Based Particle Swarms
Abstract— Social decision support systems are able to aggregate the local perspectives of a diverse group of individuals into a global social decision. This paper presents a mult...
Marko A. Rodriguez
137
Voted
ICMCS
2007
IEEE
194views Multimedia» more  ICMCS 2007»
15 years 11 months ago
Automatically Tuning Background Subtraction Parameters using Particle Swarm Optimization
A common trait of background subtraction algorithms is that they have learning rates, thresholds, and initial values that are hand-tuned for a scenario in order to produce the des...
Brandyn White, Mubarak Shah
GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
15 years 11 months ago
Markov chain models of bare-bones particle swarm optimizers
We apply a novel theoretical approach to better understand the behaviour of different types of bare-bones PSOs. It avoids many common but unrealistic assumptions often used in an...
Riccardo Poli, William B. Langdon
AHS
2006
IEEE
119views Hardware» more  AHS 2006»
15 years 11 months ago
Particle Swarm Optimization with Discrete Recombination: An Online Optimizer for Evolvable Hardware
Self-reconfigurable adaptive systems have the possibility of adapting their own hardware configuration. This feature provides enhanced performance and flexibility, reflected i...
Jorge Peña, Andres Upegui, Eduardo Sanchez