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» Nonlinear mapping using particle swarm optimisation
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ROBOCUP
2004
Springer
117views Robotics» more  ROBOCUP 2004»
14 years 1 months ago
Map-Based Multiple Model Tracking of a Moving Object
In this paper we propose an approach for tracking a moving target using Rao-Blackwellised particle filters. Such filters represent posteriors over the target location by a mixtur...
Cody C. T. Kwok, Dieter Fox
DATE
2008
IEEE
134views Hardware» more  DATE 2008»
14 years 2 months ago
Scalable Architecture for on-Chip Neural Network Training using Swarm Intelligence
This paper presents a novel architecture for on-chip neural network training using particle swarm optimization (PSO). PSO is an evolutionary optimization algorithm with a growing ...
Amin Farmahini Farahani, Seid Mehdi Fakhraie, Saee...
GECCO
2008
Springer
116views Optimization» more  GECCO 2008»
13 years 9 months ago
Evolving similarity functions for code plagiarism detection
Students are often asked to submit electronic copies of their program code as part of assessment in computer science courses. To counter code plagiarism, educational institutions ...
Victor Ciesielski, Nelson Wu, Seyed M. M. Tahaghog...
GECCO
2007
Springer
481views Optimization» more  GECCO 2007»
14 years 2 months ago
A hybrid PSO/ACO algorithm for classification
In a previous work we have proposed a hybrid Particle Swarm Optimisation/Ant Colony Optimisation (PSO/ACO) algorithm for the discovery of classification rules, in the context of d...
Nicholas Holden, Alex Alves Freitas
PPSN
2004
Springer
14 years 1 months ago
Optimization via Parameter Mapping with Genetic Programming
Abstract. This paper describes a new approach for parameter optimization that uses a novel representation for the parameters to be optimized. By using genetic programming, the new ...
João Carlos Figueira Pujol, Riccardo Poli