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» Removing the Genetics from the Standard Genetic Algorithm
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CEC
2010
IEEE
14 years 11 months ago
An analysis of clustering objectives for feature selection applied to encrypted traffic identification
This work explores the use of clustering objectives in a Multi-Objective Genetic Algorithm (MOGA) for both, feature selection and cluster count optimization, under the application...
Carlos Bacquet, A. Nur Zincir-Heywood, Malcolm I. ...
ANOR
2002
99views more  ANOR 2002»
14 years 9 months ago
A General Approach to the Physician Rostering Problem
Abstract. This paper presents a hybridization of a Constraint Programming (CP) model and search techniques with Local Search (LS) and some ideas borrowed from Genetic Algorithms (G...
Louis-Martin Rousseau, Gilles Pesant, Michel Gendr...
GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
15 years 3 months ago
Training Neural Networks with GA Hybrid Algorithms
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
Enrique Alba, J. Francisco Chicano
EVOW
2005
Springer
15 years 3 months ago
On the Application of Evolutionary Algorithms to the Consensus Tree Problem
Computing consensus trees amounts to finding a single tree that summarizes a collection of trees. Three evolutionary algorithms are defined for this problem, featuring characteri...
Carlos Cotta
PPSN
1994
Springer
15 years 2 months ago
An Evolutionary Algorithm for Integer Programming
Abstract. The mutation distribution of evolutionary algorithms usually is oriented at the type of the search space. Typical examples are binomial distributions for binary strings i...
Günter Rudolph