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ISCI
2006
72views more  ISCI 2006»
13 years 8 months ago
A study of particle swarm optimization particle trajectories
Particle swarm optimization (PSO) has shown to be an efficient, robust and simple optimization algorithm. Most of the PSO studies are empirical, with only a few theoretical analys...
F. Van den Bergh, Andries Petrus Engelbrecht
GECCO
2009
Springer
134views Optimization» more  GECCO 2009»
14 years 1 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»
14 years 1 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
2008
Springer
124views Optimization» more  GECCO 2008»
13 years 9 months ago
Runtime analysis of binary PSO
We investigate the runtime of the Binary Particle Swarm Optimization (PSO) algorithm introduced by Kennedy and Eberhart (1997). The Binary PSO maintains a global best solution and...
Dirk Sudholt, Carsten Witt
GECCO
2003
Springer
245views Optimization» more  GECCO 2003»
14 years 2 months ago
A Non-dominated Sorting Particle Swarm Optimizer for Multiobjective Optimization
Abstract. This paper introduces a modified PSO, Non-dominated Sorting Particle Swarm Optimizer (NSPSO), for better multiobjective optimization. NSPSO extends the basic form of PSO...
Xiaodong Li