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The individual optimum optimization procedure predicted that the minimum average particle size (86.51 nm) would be obtained at concentrations of 0.09 wt %, 0.81 wt % and 20 wt % for astaxanthin, emulsifier and organic phase.
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To deal with this discontinuous and multilocal optimums optimization problem, a derivative-free optimization, differential evolution (DE) algorithm, is used to solve the problem.
Even tough, the response surface pointed out that the process is already within the optimum zone, optimization with the reduced model pointed further improvement in the amount of hexane recovered.
It should be pointed out that we use GCS in terms of optimizing a global search space, not determining the global optimum for our optimization task.
Therefore, the method of finding the optimum solution includes two optimization processes: optimization of the position of CHs and optimization of gathering traffic to the CHs.
Using ridge analysis method of optimization, optimum fading with Cellusoft Conc.
Genetic algorithm (GA) bears the feature of searching the global optimum for the optimization problem.
To generalize the optimum results, the optimization of the system is performed for the different rates of heat transfer.
To determine optimum C, constrained optimization should be done regarding the compatibility of ions which are present in the medium and formation brine.
The study presents and examines a general solution methodology that obtains an estimated global optimum for combinatorial optimization problems with components of uncertainty.
The physical annealing process is simulated in the simulated annealing (SA) technique for the determination of global or near-global optimum solutions for optimization problems.
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