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GECCO
2005
Springer
15 years 3 months ago
2005
Springer
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
Coevolution can be used to adaptively choose the tests used for evaluating candidate solutions. A long-standing question is how this dynamic setup may be organized to yield reliab...
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
This paper describes a genetic algorithm (GA) that evolves optimized sets of coefficients for one-dimensional signal reconstruction under lossy conditions due to quantization. Beg...
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
Many real-world problems are multi-objective optimization problems and evolutionary algorithms are quite successful on such problems. Since the task is to compute or approximate t...
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
The interaction among variables of an optimization problem is known as epistasis, and its degree is an important measure for the nonlinearity of the problem. We address the proble...