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Based on the system model, the mathematical programming method is used to optimizing design the RO water purification system, the objective function is to minimize the total annualized cost of the RO system.
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Particle swarm optimization is used to optimize the model parameters.
PSO is used to optimize the initial clustering centers.
Genetic algorithm is used to optimize the rule base.
A velocity threshold is used to optimize the system performance.
Finally, Taguchi method is used to optimize the process parameters.
The Gravitational Search Algorithm (GSA) is used to optimize hyper parameters.
This modeling technology is used to optimize FCC regenerator operation.
A two-stage procedure is used to optimize the generator.
The validated model is used to optimize the design.
Taguchi method is used to optimize the genetic algorithm parameters.
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