55 search results - page 9 / 11 » Multiple trajectory search for Large Scale Global Optimizati... |
107
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GECCO
2007
Springer
15 years 3 months ago
2007
Springer
One of the most critical issues that remains to be fully addressed in existing multimodal evolutionary algorithms is the difficulty in pre-specifying parameters used for estimatin...
IWANN
2009
Springer
15 years 4 months ago
2009
Springer
Frequently, the number of input variables (features) involved in a problem becomes too large to be easily handled by conventional machine-learning models. This paper introduces a c...
103
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GECCO
2008
Springer
14 years 10 months ago
2008
Springer
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
236
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EC
2012
13 years 5 months ago
2012
In a multimodal optimization task, the main purpose is to find multiple optimal solutions (global and local), so that the user can have a better knowledge about different optima...
ICC
2007
IEEE
15 years 3 months ago
2007
IEEE
— We study the cross-layer problem of combining routing and cooperative diversity in multi-hop, bandwidthconstrained networks with dedicated multiple access. Previous work in coo...