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» Adapting binary fitness functions in Genetic Algorithms
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IJCES
2002
100views more  IJCES 2002»
13 years 10 months ago
Neural Network Decoders for Linear Block Codes
This paper presents a class of neural networks suitable for the application of decoding error-correcting codes.The neural model is basically a perceptron with a high-order polynom...
Ja-Ling Wu, Yuen-Hsien Tseng, Yuh-Ming Huang
ADMA
2006
Springer
110views Data Mining» more  ADMA 2006»
14 years 2 months ago
Learning with Local Drift Detection
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Gladys Castillo
GECCO
2005
Springer
159views Optimization» more  GECCO 2005»
14 years 4 months ago
Using evolutionary algorithms for the unit testing of object-oriented software
As the paradigm of object orientation becomes more and more important for modern IT development projects, the demand for an automated test case generation to dynamically test obje...
Stefan Wappler, Frank Lammermann
ASIAN
2004
Springer
153views Algorithms» more  ASIAN 2004»
14 years 2 months ago
Chi-Square Matrix: An Approach for Building-Block Identification
This paper presents a line of research in genetic algorithms (GAs), called building-block identification. The building blocks (BBs) are common structures inferred from a set of sol...
Chatchawit Aporntewan, Prabhas Chongstitvatana
TEC
2002
133views more  TEC 2002»
13 years 10 months ago
Learning and optimization using the clonal selection principle
The clonal selection principle is used to explain the basic features of an adaptive immune response to an antigenic stimulus. It establishes the idea that only those cells that rec...
Leandro Nunes de Castro, Fernando J. Von Zuben