Sciweavers

ISCAS
2005
IEEE

Structured stochastic optimization strategies for problems with ill-conditioned error surfaces

13 years 11 months ago
Structured stochastic optimization strategies for problems with ill-conditioned error surfaces
—This paper compares the performance of several structured optimization strategies in adaptive signal processing problems that are characterized by ill-conditioned error surfaces. The genetic algorithm (GA), the particle swarm optimization (PSO) algorithm, and a new constrained random search (CRS) algorithm [8] are considered. When applied to adaptive filters, these structured stochastic search strategies are independent of the adaptive filter structure and are capable of converging to the global solution when applied in circumstances that create multi-modal mean squared error surfaces.
S. Pal, Dean J. Krusienski, W. Kenneth Jenkins
Added 25 Jun 2010
Updated 25 Jun 2010
Type Conference
Year 2005
Where ISCAS
Authors S. Pal, Dean J. Krusienski, W. Kenneth Jenkins
Comments (0)