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140
Voted
GECCO
2004
Springer
15 years 10 months ago
2004
Springer
The use of Genetic Algorithms in evolution of mutants and test cases offers new possibilities in addressing some of the main problems of mutation testing. Most specifically the p...
116
Voted
GECCO
2004
Springer
15 years 10 months ago
2004
Springer
In this paper, we consider each neural network as a point in a multi-dimensional problem space and suggest a crossover that locates the central point of a number of neural networks...
134
Voted
GECCO
2003
Springer
15 years 10 months ago
2003
Springer
This paper analyzes the performance of a genetic algorithm that utilizes tournament selection, one-point crossover, and a reordering operator. A model is proposed to describe the c...
117
Voted
GECCO
2003
Springer
15 years 10 months ago
2003
Springer
A novel method, for solving satisfiability (SAT) instances is presented. It is based on two components: a) An Epistasis Reducer Algorithm (ERA) that produces a more suited represe...
158
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ICTAI
1993
IEEE
15 years 9 months ago
1993
IEEE
Selecting a set of features which is optimal for a given task is a problem which plays an important role in a wide variety of contexts including pattern recognition, adaptive cont...