9 search results - page 1 / 2 » Memetic algorithms with variable-depth search to overcome lo... |
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
CEC
2010
IEEE
13 years 6 months ago
2010
IEEE
In this paper, we present a memetic algorithm with novel local optimizer hybridization strategy for constrained optimization. The developed MA consists of multiple cycles. In each ...
GECCO
2004
Springer
13 years 10 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. ...
AUSAI
2001
Springer
13 years 8 months ago
2001
Springer
Evolutionary Artificial Neural Networks (EANN) have been a focus of research in the areas of Evolutionary Algorithms (EA) and Artificial Neural Networks (ANN) for the last decade. ...
TKDE
2008
13 years 4 months ago
2008
Clustering is inherently a difficult task and is made even more difficult when the selection of relevant features is also an issue. In this paper, we propose an approach for simult...