GPEM
2006
13 years 11 months ago
2006
New Particle Swarm Optimization (PSO) methods for dynamic and noisy function optimization are studied in this paper. The new methods are based on the hierarchical PSO (H-PSO) and a...
GECCO
2009
Springer
14 years 4 months ago
2009
Springer
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)....
GECCO
2009
Springer
14 years 4 months ago
2009
Springer
Dealing with imprecise information is a common characteristic in real-world problems. Specifically, when the source of the information are physical sensors, a level of noise in t...
GECCO
2004
Springer
14 years 4 months ago
2004
Springer
Abstract. In practical applications evaluating a fitness function is frequently subject to noise, i. e., the “true fitness” is disturbed by some random variations. Evolutiona...