203 search results - page 15 / 41 » Fitness landscapes and problem hardness in evolutionary comp... |
GECCO
2009
Springer
15 years 6 months ago
2009
Springer
Evolutionary Computation is an exciting research field with the power to assist researchers in the task of solving hard optimization problems (i.e., problems where the exploitabl...
GECCO
2007
Springer
15 years 3 months ago
2007
Springer
The Negative Slope Coefficient (nsc) is an empirical measure of problem hardness based on the analysis of offspring-fitness vs. parent-fitness scatterplots. The nsc has been teste...
GECCO
2006
Springer
15 years 3 months ago
2006
Springer
This paper presents a new method for 3D cutting of geometrical space with application to airspace sectoring. This problem comes from the air traffic management but the proposed me...
CEC
2005
IEEE
15 years 5 months ago
2005
IEEE
This paper presents a study on Hierarchical Surrogate-Assisted Evolutionary Algorithm (HSAEA) using different global surrogate models for solving computationally expensive optimiza...
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CIMCA
2008
IEEE
15 years 6 months ago
2008
IEEE
—The computational grid provides a promising platform for the deployment of various high-performance computing applications. In computational grid, an efficient scheduling of tas...