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» Modeling GA Performance for Control Parameter Optimization
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ICPR
2008
IEEE
15 years 3 months ago
Comparison of Particle Swarm Optimization and Genetic Algorithm for HMM training
Hidden Markov Model (HMM) is the dominant technology in speech recognition. The problem of optimizing model parameters is of great interest to the researchers in this area. The Ba...
Fengqin Yang, Changhai Zhang, Tieli Sun
77
Voted
IJON
2000
105views more  IJON 2000»
14 years 9 months ago
G-Prop: Global optimization of multilayer perceptrons using GAs
A general problem in model selection is to obtain the right parameters that make a model "t observed data. For a multilayer perceptron (MLP) trained with back-propagation (BP...
Pedro A. Castillo Valdivieso, Juan J. Merelo Guerv...
IPPS
1998
IEEE
15 years 1 months ago
Performance and Experience with LAPI - a New High-Performance Communication Library for the IBM RS/6000 SP
LAPI is a low-level, high-performance communication interface available on the IBM RS/6000 SP system. It provides an activemessage-like interface along with remote memory copy and...
Gautam Shah, Jarek Nieplocha, Jamshed H. Mirza, Ch...
CEC
2010
IEEE
14 years 8 months ago
Gaussian Adaptation as a unifying framework for continuous black-box optimization and adaptive Monte Carlo sampling
Abstract— We present a unifying framework for continuous optimization and sampling. This framework is based on Gaussian Adaptation (GaA), a search heuristic developed in the late...
Christian L. Müller, Ivo F. Sbalzarini
CEC
2007
IEEE
14 years 11 months ago
Hybrid optimization using DIRECT, GA, and SQP for global exploration
— As there are many good optimization algorithms each with its own characteristics, it is very difficult to choose the best method for optimization problems. Thus, it is importa...
Satoru Hiwa, Tomoyuki Hiroyasu, Mitsunori Miki