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Particle swarm optimization is used to optimize the model parameters.
In [18], the modified particle swarm optimization algorithm is used to optimize energy in MG.
The multi-objective optimization model is used to optimize generating cost and carbon emission.
In the operation optimization, receding horizon strategy is used to optimize the operation schedule.
This modeling technology is used to optimize FCC regenerator operation.
RL is used to optimize the actuation strategy, enhancing the swimming performance of the robot.
Signal averaging is used to optimize the image of the alignment marks for maximum alignment accuracy.
A two-stage procedure is used to optimize the generator.
Taguchi's parameter design approach is used to optimize the response.
Finite element method is used to optimize the optical design.
An adaptive scheme is used to optimize load balancing.
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