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GECCO
2007
Springer
14 years 1 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
14 years 2 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...
GECCO
2008
Springer
13 years 8 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...
EC
2012
12 years 3 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
14 years 1 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...