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CEC
2008
IEEE
14 years 2 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...
HICSS
2007
IEEE
141views Biometrics» more  HICSS 2007»
14 years 2 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
ICMCS
2007
IEEE
194views Multimedia» more  ICMCS 2007»
14 years 2 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
22
Voted
GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
14 years 1 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»
14 years 1 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