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IAJIT
2008
127views more  IAJIT 2008»
13 years 5 months ago
A Customized Particle Swarm Optimization for Classification of Multispectral Imagery Based on Feature Fusion
: An attempt has been made in this paper to classify multispectral images using customized particle swam optimization. To reduce the time consumption due to increase in dimensional...
Venkatalakshmi Krishnan, Anisha Praisy, Mercy Shal...
GECCO
2004
Springer
158views Optimization» more  GECCO 2004»
13 years 11 months ago
Adaptively Choosing Neighbourhood Bests Using Species in a Particle Swarm Optimizer for Multimodal Function Optimization
This paper proposes an improved particle swarm optimizer using the notion of species to determine its neighbourhood best values, for solving multimodal optimization problems. In th...
Xiaodong Li
GECCO
2009
Springer
134views Optimization» more  GECCO 2009»
13 years 10 months ago
Black-box optimization benchmarking for noiseless function testbed using PSO_bounds
This paper benchmarks the particle swarm optimizer with adaptive bounds algorithm (PSO Bounds) on the noisefree BBOB 2009 testbed. The algorithm is further augmented with a simple...
Mohammed El-Abd, Mohamed S. Kamel
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
13 years 10 months ago
Black-box optimization benchmarking for noiseless function testbed using an EDA and PSO hybrid
This paper benchmarks an Estimation of Distribution Algorithm (EDA) and Particle Swarm Optimizer (PSO) on noisefree BBOB 2009 testbed. The algorithm is referred to as EDA-PSO and ...
Mohammed El-Abd, Mohamed S. Kamel
GECCO
2006
Springer
178views Optimization» more  GECCO 2006»
13 years 9 months ago
Adaptively choosing niching parameters in a PSO
Niching techniques play an important role in evolutionary algorithms. Existing niching methods often require userspecified parameters, limiting their usefulness. This paper propos...
Stefan Bird, Xiaodong Li