3117 search results - page 365 / 624 » The Spatially-Dispersed Genetic Algorithm |
154
click to vote
GECCO
2007
Springer
16 years 23 days ago
2007
Springer
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
168
click to vote
GECCO
2007
Springer
16 years 23 days ago
2007
Springer
Computation in biology and in conventional computer architectures seem to share some features, yet many of their important characteristics are very different. To address this, [1]...
188
click to vote
GECCO
2005
Springer
16 years 3 days ago
2005
Springer
In neuroevolution, a genetic algorithm is used to evolve a neural network to perform a particular task. The standard approach is to evolve a population over a number of generation...
178
Voted
GECCO
2005
Springer
16 years 3 days ago
2005
Springer
In Genetic algorithms it is not easy to evaluate the confidence level in whether a GA run may have missed a complete area of good points, and whether the global optimum was found....
161
click to vote
PPSN
2004
Springer
15 years 12 months ago
2004
Springer
Theoretically and empirically it is clear that a genetic algorithm with crossover will outperform a genetic algorithm without crossover in some fitness landscapes, and vice versa i...