512 search results - page 23 / 103 » On Evolutionary Optimization of Large Problems Using Small P... |
GECCO
2005
Springer
14 years 2 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...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
This paper presents a mutation-based evolutionary algorithm that evolves genotypic genes for regulating developmental timing of phenotypic values. The genotype sequentially genera...
BMCBI
2008
13 years 8 months ago
2008
Background: We consider the discovery of recombinant segments jointly with their origins within multilocus DNA sequences from bacteria representing heterogeneous populations of fa...
GECCO
2009
Springer
14 years 1 months ago
2009
Springer
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
We show how a random mutation hill climber that does multilevel selection utilizes transposition to escape local optima on the discrete Hierarchical-If-And-Only-If (HIFF) problem....