610 search results - page 61 / 122 » Solving Geometrical Place Problems by using Evolutionary Alg... |
132
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GECCO
2006
Springer
15 years 7 months ago
2006
Springer
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
126
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IJES
2006
15 years 3 months ago
2006
: We present efficient solutions for the non-contiguous linear placement of data-paths for reconfigurable fabrics. A strip-based architecture is assumed for the reconfigurable fabr...
156
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KDD
2012
ACM
13 years 6 months ago
2012
ACM
Traditional co-clustering methods identify block structures from static data matrices. However, the data matrices in many applications are dynamic; that is, they evolve smoothly o...
144
Voted
GECCO
2010
Springer
15 years 4 months ago
2010
Springer
Evolutionary algorithms (EAs) are increasingly being applied to solve real-parameter optimization problems due to their flexibility in handling complexities such as non-convexity,...
121
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GECCO
2009
Springer
15 years 10 months ago
2009
Springer
In this paper we propose to use a distance metric based on user-preferences to efficiently find solutions for manyobjective problems. We use a particle swarm optimization (PSO) a...