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» Timetable Scheduling Using Particle Swarm Optimization
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GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
14 years 5 days ago
Particle swarm hybridized with differential evolution: black box optimization benchmarking for noisy functions
In this work we evaluate a Particle Swarm Optimizer hybridized with Differential Evolution and apply it to the BlackBox Optimization Benchmarking for noisy functions (BBOB 2009)....
José García-Nieto, Enrique Alba, Jav...
GECCO
2009
Springer
114views Optimization» more  GECCO 2009»
14 years 5 days ago
Noiseless functions black-box optimization: evaluation of a hybrid particle swarm with differential operators
In this work we evaluate a Particle Swarm Optimizer hybridized with Differential Evolution and apply it to the BlackBox Optimization Benchmarking for noiseless functions (BBOB 20...
José García-Nieto, Enrique Alba, Jav...
CEC
2007
IEEE
13 years 11 months ago
Development and validation of different hybridization strategies between GA and PSO
In this paper a new class of hybridization strategies between GA and PSO is presented and validated. The Genetical Swarm Optimization (GSO) approach is presented here with respect ...
A. Gandelli, F. Grimaccia, Marco Mussetta, Paola P...
GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
14 years 1 months ago
Kernel based automatic clustering using modified particle swarm optimization algorithm
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
Ajith Abraham, Swagatam Das, Amit Konar
HIS
2009
13 years 5 months ago
On Some Properties of the lbest Topology in Particle Swarm Optimization
: Particle Swarm Optimization (PSO) is arguably one of the most popular nature- inspired algorithms for real parameter optimization at present. The existing theoretical research on...
Sayan Ghosh, Debarati Kundu, Kaushik Suresh, Swaga...