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GECCO
2006
Springer
214views Optimization» more  GECCO 2006»
13 years 11 months ago
A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
Elon S. Correa, Alex Alves Freitas, Colin G. Johns...
ANTSW
2006
Springer
13 years 11 months ago
An Estimation of Distribution Particle Swarm Optimization Algorithm
Abstract. In this paper we present an estimation of distribution particle swarm optimization algorithm that borrows ideas from recent developments in ant colony optimization. In th...
Mudassar Iqbal, Marco Antonio Montes de Oca
EMO
2009
Springer
181views Optimization» more  EMO 2009»
14 years 1 days ago
Multi-Objective Particle Swarm Optimizers: An Experimental Comparison
Particle Swarm Optimization (PSO) has received increased attention in the optimization research community since its first appearance. Regarding multi-objective optimization, a con...
Juan José Durillo, José Garcí...
GECCO
2010
Springer
254views Optimization» more  GECCO 2010»
14 years 7 days ago
Evolutionary multi-objective optimization and decision making for selective laser sintering
This paper proposes an integrated approach to arrive at optimal build orientations, simultaneously minimizing surface roughness ‘Ra’ and build time ‘T’, for object manufac...
Nikhil Padhye, Kalyanmoy Deb
EVOW
2004
Springer
14 years 24 days ago
Swarm Granulator
Abstract. This paper describes a Swarm Granulator, a new application of particle swarms to sound synthesis. Granulation, an established technique in sound synthesis, depends on man...
Tim Blackwell, Michael Young
GECCO
2005
Springer
196views Optimization» more  GECCO 2005»
14 years 26 days ago
Breeding swarms: a new approach to recurrent neural network training
This paper shows that a novel hybrid algorithm, Breeding Swarms, performs equal to, or better than, Genetic Algorithms and Particle Swarm Optimizers when training recurrent neural...
Matthew Settles, Paul Nathan, Terence Soule
GECCO
2005
Springer
190views Optimization» more  GECCO 2005»
14 years 29 days ago
An efficient evolutionary algorithm applied to the design of two-dimensional IIR filters
This paper presents an efficient technique of designing twodimensional IIR digital filters using a new algorithm involving the tightly coupled synergism of particle swarm optimiza...
Swagatam Das, Amit Konar, Uday Kumar Chakraborty
SYNASC
2005
IEEE
110views Algorithms» more  SYNASC 2005»
14 years 1 months ago
Performance Tuning of Evolutionary Algorithms Using Particle Sub Swarms
Particle Swarm Optimization (PSO) technique proved its ability to deal with very complicated optimization and search problems. This paper proposes a new particle swarm variant whi...
Crina Grosan, Ajith Abraham, Monica Nicoara
ISICA
2007
Springer
14 years 1 months ago
Fast Multi-swarm Optimization with Cauchy Mutation and Crossover Operation
The standard Particle Swarm Optimization (PSO) algorithm is a novel evolutionary algorithm in which each particle studies its own previous best solution and the group’s previous ...
Qing Zhang, Changhe Li, Yong Liu, Lishan Kang
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
14 years 1 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