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» Simple adaptive cognition for PSO
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CEC
2011
IEEE
12 years 4 months ago
Simple adaptive cognition for PSO
Abstract—A simple, effective, computationally cheap, and easily tuned method is presented for improving PSO performance by automatically adapting acceleration coefficients. Whil...
Christopher K. Monson
IPPS
2007
IEEE
13 years 11 months ago
Distributed Adaptive Particle Swarm Optimizer in Dynamic Environment
Particle Swarm Optimization (PSO) is a population-based stochastic optimization technique, which can be used to find an optimal, or near optimal, solution to a numerical and quali...
Xiaohui Cui, Thomas E. Potok
GECCO
2006
Springer
210views Optimization» more  GECCO 2006»
13 years 8 months ago
Adaptive diversity in PSO
Spatial Extension PSO (SEPSO) and Attractive-Repulsive PSO (ARPSO) are methods for artificial injection of diversity into particle swarm optimizers that are intended to encourage ...
Christopher K. Monson, Kevin D. Seppi
GECCO
2009
Springer
134views Optimization» more  GECCO 2009»
13 years 9 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
ATAL
2006
Springer
13 years 8 months ago
Multi-robot learning with particle swarm optimization
We apply an adapted version of Particle Swarm Optimization to distributed unsupervised robotic learning in groups of robots with only local information. The performance of the lea...
Jim Pugh, Alcherio Martinoli