732 search results - page 92 / 147 » Critical control of a genetic algorithm |
102
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RTSS
2000
IEEE
15 years 4 months ago
2000
IEEE
In portable applications, the energy consumed by OS and application tasks primarily comes from DC battery source, which is limited and imposes an upper bound to the amount of time...
106
Voted
ICAS
2006
IEEE
15 years 6 months ago
2006
IEEE
— We target the problem of predicting resource usage in situations where the modeling data is scarce, non-stationary, or expensive to obtain. This scenario occurs frequently in c...
72
Voted
GECCO
2005
Springer
15 years 6 months ago
2005
Springer
We propose a new methodology to look at the fitness contributions (semantics) of different schemata in Genetic Programming (GP). We hypothesize that the significance of a schem...
104
Voted
GECCO
2004
Springer
15 years 6 months ago
2004
Springer
This paper presents a modified optimal control model of drug scheduling in cancer chemotherapy and a new adaptive elitist-population based genetic algorithm (AEGA) to solve it. Wo...
93
Voted
GECCO
2008
Springer
15 years 1 months ago
2008
Springer
Symbolic regression is a popular genetic programming (GP) application. Typically, the fitness function for this task is based on a sum-of-errors, involving the values of the depe...