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ICPR
2008
IEEE
13 years 11 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
GECCO
2005
Springer
196views Optimization» more  GECCO 2005»
13 years 10 months ago
Breeding swarms: a new approach to recurrent neural network training
This paper shows that a novel hybrid algorithm, Breeding Swarms, performs equal to, or better than, Genetic Algorithms and Particle Swarm Optimizers when training recurrent neural...
Matthew Settles, Paul Nathan, Terence Soule
ICARCV
2008
IEEE
200views Robotics» more  ICARCV 2008»
13 years 11 months ago
A robot behavior-learning experiment using Particle Swarm Optimization for training a neural-based animat
— We investigate the use of Particle Swarm Optimization (PSO), and compare with Genetic Algorithms (GA), for a particular robot behavior-learning task: the training of an animat ...
Fabien Moutarde
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
13 years 8 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule
ICNC
2009
Springer
13 years 9 months ago
Vehicle Routing Problem with Time Windows: A Hybrid Particle Swarm Optimization Approach
Vehicle routing problem (VRP) is a well-known combinatorial optimization and nonlinear programming problem seeking to service a number of customers with a fleet of vehicles. This ...
Xiaoxiang Liu, Weigang Jiang, Jianwen Xie