1247 search results - page 46 / 250 » Genetic algorithms for mentor-assisted evaluation function o... |
ICML
2003
IEEE
15 years 5 months ago
2003
IEEE
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
GECCO
2007
Springer
15 years 3 months ago
2007
Springer
The Negative Slope Coefficient (nsc) is an empirical measure of problem hardness based on the analysis of offspring-fitness vs. parent-fitness scatterplots. The nsc has been teste...
ICIP
2010
IEEE
14 years 9 months ago
2010
IEEE
The process of finding representative shape patterns from sparse datasets is a challenging task: especially for non-rigid objects, shape deformations through time can produce very...
113
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GECCO
1999
Springer
15 years 4 months ago
1999
Springer
This paper describes the innovative use of genetic programming (GP) to solve the grasp synthesis problem for multifingered robot hands. The goal of our algorithm is to select a Ò...
116
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EPS
1997
Springer
15 years 4 months ago
1997
Springer
Abstract. In Neo-Darwinism, mutation can be considered to be unaffected by selection pressure. This is the metaphor generally used by the genetic algorithm for its treatment of the...