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Finally, in the third step, an optimization method is used for optimizing the single response which is obtained from the last step.
To this purpose, an evolutionary algorithm (EA) called particle swarm optimization (PSO) is used for optimizing the mathematical model shown in Equation 1.
Particle swarm optimization algorithm is used for optimizing difficult numerical functions and, based on the metaphor of human social interaction, is capable of mimicking the ability of human societies to process knowledge (Shayeghi et al. 2009).
A multicriteria optimization based on the use of a desirability function is used for optimizing two analytical responses (peak height and its variability) since single-objective optimizations lead to conflicting experimental conditions.
The hybrid particle swarm optimization-gravitational search algorithm (PSO-GSA) is used for optimizing the parameters of the single Gabor filter.
Artificial Neural Network is used for optimizing microstrip antenna dimensions.
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The genetic algorithm and particle swarm optimization (PSO) are used for optimizing the efficiency of machine.
A D-optimal design was used for optimizing the factors and to evaluate their influential upon extraction.
Following preformulation studies like solubility determination, component selection and pseudoternary phase diagram construction, a 3-factor D-optimal mixture design was used for optimizing a microemulsion having desirable formulation characteristics.
The approach presented here can be used for optimizing metabolic models by finding the best combination of targets and their optimal level of up/down-regulation.
Then the above conditions were used for optimizing the medium composition.
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