2174 search results - page 355 / 435 » On the Brittleness of Evolutionary Algorithms |
176
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GECCO
2005
Springer
15 years 11 months 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...
152
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GECCO
2004
Springer
15 years 11 months ago
2004
Springer
Abstract. Iterated local search (ILS) is a powerful meta-heuristic algorithm applied to a large variety of combinatorial optimization problems. Contrary to evolutionary algorithms ...
123
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GECCO
2003
Springer
15 years 11 months ago
2003
Springer
Reliable execution and analysis of an evolutionary algorithm (EA) normally requires many runs to provide reasonable assurance that stochastic effects have been properly considered...
134
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GECCO
2010
Springer
15 years 11 months ago
2010
Springer
This paper presents ObjRecombGA, a genetic algorithm framework for recombining related programs at the object file level. A genetic algorithm guides the selection of object file...
171
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GECCO
2009
Springer
15 years 10 months ago
2009
Springer
We propose a cooperative-coevolution – Parisian trend – algorithm, IMPEA (Independence Model based Parisian EA), to the problem of Bayesian networks structure estimation. It i...