423 search results - page 3 / 85 » Parallel Heterogeneous Genetic Algorithms for Continuous Opt... |
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Voted
ISCC
2006
IEEE
15 years 3 months ago
2006
IEEE
Genetic Algorithms are very powerful search methods that are used in different optimization problems. Parallel versions of genetic algorithms are easily implemented and usually in...
CEC
2007
IEEE
15 years 3 months ago
2007
IEEE
Abstract— Designing effective behavioral controllers for mobile robots can be difficult and tedious; this process can be circumvented by using unsupervised learning techniques w...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
Cooperative coevolution has proven to be a promising technique for solving complex combinatorial optimization problems. In this paper, we present four different strategies which i...
EGC
2005
Springer
15 years 2 months ago
2005
Springer
Genetic algorithms (GAs) are stochastic search methods that have been successfully applied in many search, optimization, and machine learning problems. Their parallel counterpart (...
JPDC
2002
14 years 9 months ago
2002