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The algorithms of maximum principle have been used for optimization.
Sequential quadratic programming (SQP) has been used for optimization.
Further, the GP model has been used for optimization of Ra and Rz using genetic algorithm.
Experimental design has been used for optimization thinking of the analytical application.
To this end, the Box-Behnken design of response surface methodology has been used for optimization purposes.
The response surface methodology (RSM) and adaptive neuro-fuzzy inference system (ANFIS) have been used for optimization and simulation of the treatment of chlorpyrifos (CPF) bearing wastewater using the Fenton oxidation process.
Similar(53)
Box Behnken design was used for optimization of the operating parameters for optimal POPs removal.
A response surface D-optimal design was used for optimization of nanospheres.
Response surface methodology was used for optimization.
PSO algorithm is used for optimization.
Two combination methods were used for optimization.
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