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ICPR
2008
IEEE
14 years 2 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
JACIII
2010
68views more  JACIII 2010»
13 years 6 months ago
Concurrent Societies Based on Genetic Algorithm and Particle Swarm Optimization
Hrvoje Markovic, Fangyan Dong, Kaoru Hirota
ICDIM
2007
IEEE
14 years 1 months ago
A novel Variable Neighborhood Particle Swarm Optimization for multi-objective Flexible Job-Shop Scheduling Problems
This paper introduces a hybrid metaheuristic, the Variable Neighborhood Particle Swarm Optimization (VNPSO), consisting of a combination of the Variable Neighborhood Search (VNS) ...
Hongbo Liu, Ajith Abraham, Crina Grosan
CLUSTER
2008
IEEE
14 years 2 months ago
A comparison of search heuristics for empirical code optimization
—This paper describes the application of various search techniques to the problem of automatic empirical code optimization. The search process is a critical aspect of auto-tuning...
Keith Seymour, Haihang You, Jack Dongarra
AMC
2007
111views more  AMC 2007»
13 years 7 months ago
Locating multiple optima using particle swarm optimization
Many scientific and engineering applications require optimization methods to find more than one solution to multimodal optimization problems. This paper presents a new particle ...
R. Brits, Andries Petrus Engelbrecht, F. Van den B...