113 search results - page 10 / 23 » Evaluation of Comprehensive Learning Particle Swarm Optimize... |
GECCO
2007
Springer
14 years 27 days ago
2007
Springer
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
ISDA
2008
IEEE
14 years 1 months ago
2008
IEEE
This paper describes a method for improving the final accuracy and the convergence speed of Particle Swarm Optimization (PSO) by adapting its inertia factor in the velocity updati...
SGAI
2009
Springer
13 years 11 months ago
2009
Springer
PSO is a population-based technique for optimization, which simulates the social behavior of the fish schooling or bird flocking. Two significant weaknesses of this method are: fir...
CEC
2007
IEEE
14 years 1 months ago
2007
IEEE
— This paper describes two performance measures for measuring an EMO (Evolutionary Multiobjective Optimization) algorithm’s ability to track a time-varying Paretofront in a dyn...
GECCO
2007
Springer
14 years 27 days ago
2007
Springer
In multiobjective particle swarm optimization (MOPSO) methods, selecting the local best and the global best for each particle of the population has a great impact on the convergen...