433 search results - page 36 / 87 » Dynamic-probabilistic particle swarms |
GECCO
2007
Springer
14 years 1 months 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...
ISICA
2007
Springer
14 years 1 months ago
2007
Springer
The standard Particle Swarm Optimization (PSO) algorithm is a novel evolutionary algorithm in which each particle studies its own previous best solution and the group’s previous ...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
GECCO
2007
Springer
14 years 1 months 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 ...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
Evolutionary structural testing is an approach to automatically generating test cases that achieve high structural code coverage. It typically uses genetic algorithms (GAs) to sea...