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GECCO
2007
Springer
481views Optimization» more  GECCO 2007»
13 years 10 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
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
13 years 10 months ago
Geometric particle swarm optimisation on binary and real spaces: from theory to practice
Geometric particle swarm optimization (GPSO) is a recently introduced formal generalization of traditional particle swarm optimization (PSO) that applies naturally to both continu...
Cecilia Di Chio, Alberto Moraglio, Riccardo Poli
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
13 years 10 months ago
Observing the swarm behaviour during its evolutionary design
Evolutionary Algorithms (EAs) can be used for designing Particle Swarm Optimization (PSO) algorithms that work, in some cases, considerably better than the human-designed ones. By...
Laura Diosan, Mihai Oltean
GECCO
2007
Springer
124views Optimization» more  GECCO 2007»
13 years 10 months ago
Origin of bursts
The phenomenon of particle bursts, a well-known feature of PSO is investigated. Their origin is concluded to lie in multiplicative stochasticity, previously encountered in the stu...
Tim Blackwell, Daniel Bratton
GECCO
2007
Springer
140views Optimization» more  GECCO 2007»
13 years 10 months ago
On the moments of the sampling distribution of particle swarm optimisers
A method is presented that allows one to exactly determine all the characteristics of a PSO’s sampling distribution and explain how it changes over time, in the presence stochas...
Riccardo Poli
GECCO
2007
Springer
173views Optimization» more  GECCO 2007»
13 years 10 months ago
A satellite image set for the evolution of image transforms for defense applications
Michael R. Peterson, Gary B. Lamont, Frank W. Moor...
GECCO
2007
Springer
345views Optimization» more  GECCO 2007»
13 years 10 months ago
A novel approach to automatic music transcription using electronic synthesis and genetic algorithms
This paper presents a novel approach to the problem of automatic music transcription using electronic synthesis with genetic algorithms. Although the problem is well known and di...
Gustavo Reis, Francisco Fernández de Vega
GECCO
2007
Springer
326views Optimization» more  GECCO 2007»
13 years 10 months ago
Binary differential evolution for the unit commitment problem
The Unit Commitment Problem (UCP) is the task of finding an optimal turn on and turn off schedule for a group of power generation units over a given time horizon to minimize ope...
Ali Keles