835 search results - page 60 / 167 » Dynamic populations in genetic algorithms |
92
Voted
GECCO
2004
Springer
15 years 6 months ago
2004
Springer
We present a covariant form for genetic dynamics and show how different formulations are simply related by linear coordinate transformations. In particular, in the context of the ...
105
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GECCO
2004
Springer
15 years 6 months ago
2004
Springer
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
95
Voted
HAIS
2009
Springer
15 years 5 months ago
2009
Springer
The hybridization of heuristics methods aims at exploring the synergies among stand alone heuristics in order to achieve better results for the optimization problem under study. In...
116
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GECCO
2005
Springer
15 years 6 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...
117
Voted
GECCO
2008
Springer
15 years 1 months ago
2008
Springer
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...