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Exact(16)
In this work we use genetic algorithms to optimize Petlyuk sequences using a rigorous design model.
His team use genetic algorithms to tweak the irregular analogue circuit components until they conform to the design specification.
The other approach is to use genetic algorithms (GA) to search for the optimum boundaries of the design space.
In this paper we use genetic algorithms (GAs) to simultaneously optimize all of the RBF parameters so that an effective time-series is designed and used for forecasting.
We use genetic algorithms to solve the model and compare their performance to that of a Lagrangian heuristic developed in earlier work.
To address this problem, we use Genetic Algorithms to find the best 3D-NoC mesh network mapping that achieves minimum power consumption for a given application.
Similar(44)
Both AUTOLPD and AUTOROD use genetic algorithm as the optimization method.
After comparing these techniques, we decided to use Genetic Algorithm in our study.
Locating putative protein signal sequences using genetic algorithms.
Optimization has been done using genetic algorithms.
Solutions were obtained using genetic algorithms.
More suggestions(15)
use genetic tools
use occult algorithms
use advanced algorithms
use complex algorithms
use clinical algorithms
use various algorithms
use genetic markers
use genetic arguments
use genetic tests
use other algorithms
use probabilistic algorithms
use standard algorithms
use different algorithms
use genetic mutations
use genetic therapies
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