162 search results - page 26 / 33 » Intelligent Optimization via Learnable Evolution Model |
GECCO
2006
Springer
13 years 11 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...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
Modularity and symmetry are two properties observed in almost every engineering and biological structure. The origin of these properties in nature is still unknown. Yet, as engine...
MMAS
2010
Springer
13 years 2 months ago
2010
Springer
In this paper, we introduce a new nonlinear evolution partial differential equation for sparse deconvolution problems. The proposed PDE has the form of continuity equation that ar...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
This work presents a novel approach to filter synthesis on a field programmable analog array (FPAA) architecture using a genetic algorithm (GA). First, a Matlab model of the FPA...
ECAI
2008
Springer
13 years 9 months ago
2008
Springer
The problem of expressing and solving satisfiability problems (SAT) with qualitative preferences is central in many areas of Computer Science and Artificial Intelligence. In previo...