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GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
14 years 4 months ago
Finding critical backbone structures with genetic algorithms
This paper introduces the concept of a critical backbone as a minimal set of variables or part of the solution necessary to be within the basin of attraction of the global optimum...
Adam Prügel-Bennett
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
14 years 3 months ago
Improving GA search reliability using maximal hyper-rectangle analysis
In Genetic algorithms it is not easy to evaluate the confidence level in whether a GA run may have missed a complete area of good points, and whether the global optimum was found....
Chongshan Zhang, Khaled Rasheed
IPPS
1998
IEEE
14 years 2 months ago
Utilization and Predictability in Scheduling the IBM SP2 with Backfilling
Scheduling jobs on the IBM SP2 system is usually done by giving each job a partition of the machine for its exclusive use. Allocating such partitions in the order that the jobs ar...
Dror G. Feitelson, Ahuva Mu'alem Weil
GECCO
2007
Springer
124views Optimization» more  GECCO 2007»
14 years 2 months ago
Fitness-proportional negative slope coefficient as a hardness measure for genetic algorithms
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...
Riccardo Poli, Leonardo Vanneschi
AVI
2006
13 years 11 months ago
Programming rich interactions using the hierarchical state machine toolkit
Structured graphics models such as Scalable Vector Graphics (SVG) enable designers to create visually rich graphics for user interfaces. Unfortunately current programming tools ma...
Renaud Blanch, Michel Beaudouin-Lafon