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TSMC
1998
97views more  TSMC 1998»
15 years 5 months ago
Parallel algorithms for modules of learning automata
— Parallel algorithms are presented for modules of learning automata with the objective of improving their speed of convergence without compromising accuracy. A general procedure...
M. A. L. Thathachar, M. T. Arvind
GECCO
2009
Springer
117views Optimization» more  GECCO 2009»
15 years 10 months ago
BBOB-benchmarking a simple estimation of distribution algorithm with cauchy distribution
The restarted estimation of distribution algorithm (EDA) with Cauchy distribution as the probabilistic model is tested on the BBOB 2009 testbed. These tests prove that when using ...
Petr Posik
ICA
2004
Springer
15 years 11 months ago
Accurate, Fast and Stable Denoising Source Separation Algorithms
Abstract. Denoising source separation is a recently introduced framework for building source separation algorithms around denoising procedures. Two developments are reported here. ...
Harri Valpola, Jaakko Särelä
PARA
2004
Springer
15 years 11 months ago
Parallel Algorithms for Balanced Truncation Model Reduction of Sparse Systems
We describe the parallelization of an efficient algorithm for balanced truncation that allows to reduce models with state-space dimension up to O(105 ). The major computational tas...
José M. Badía, Peter Benner, Rafael ...
SWARM
2010
SPRINGER
231views Optimization» more  SWARM 2010»
15 years 11 months ago
Hybrid Particle Swarm and Conjugate Gradient Optimization Algorithm
Abstract. In this work we propose a different particle swarm optimization (PSO) algorithm that employs two key features of the conjugate gradient (CG) method. Namely, adaptive wei...
Abdallah Qteish, Mohammad Hamdan