394 search results - page 7 / 79 » A framework for evolutionary optimization with approximate f... |
CIMCA
2005
IEEE
14 years 1 months ago
2005
IEEE
Estimating the optimal number of clusters for a dataset is one of the most essential issues in cluster analysis. An improper pre-selection for the number of clusters might easily ...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
This paper discusses the implementation of local search in evolutionary multiobjective optimization (EMO) algorithms for the design of a simple but powerful memetic EMO algorithm. ...
EC
2008
13 years 7 months ago
2008
The dynamic optimization problem concerns finding an optimum in a changing environment. In the field of evolutionary algorithms, this implies dealing with a timechanging fitness l...
CEC
2010
IEEE
13 years 8 months ago
2010
IEEE
The performance of Evolutionary Programming (EP) is affected by many factors (e.g. mutation operators and selection strategies). Although the conventional approach with Gaussian mu...