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CEC
2007
IEEE
14 years 1 months ago
Opposition-based particle swarm algorithm with cauchy mutation
—Particle Swarm Optimization (PSO) has shown its fast search speed in many complicated optimization and search problems. However, PSO could often easily fall into local optima. T...
Hui Wang, Hui Li, Yong Liu, Changhe Li, Sanyou Y. ...
CEC
2008
IEEE
14 years 2 months ago
Solving dynamic multi-objective problems with vector evaluated particle swarm optimisation
— Many optimisation problems are multi-objective and change dynamically. Many methods use a weighted average approach to the multiple objectives. This paper introduces the usage ...
Mardé Greeff, Andries Petrus Engelbrecht
CEC
2005
IEEE
13 years 9 months ago
Making soccer kicks better: a study in particle swarm optimization and evolution strategies
Biomechanics is a science of examining the internal and external forces on the human body. In biomechanics, forward dynamics simulation models can be used to study optimal control ...
Namrata Khemka, Christian Jacob, Gerald Cole
ICARCV
2008
IEEE
200views Robotics» more  ICARCV 2008»
14 years 2 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
BMCBI
2006
146views more  BMCBI 2006»
13 years 7 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...