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Genetic Algorithm steady-state

Selecting the Optimum Quasi-Steady-State Species for Reduced Chemical Kinetic Mechanisms using a Genetic Algorithm. [Pg.387]

Multi-objective optimization procedures were used for the simultaneous maximization of monomer conversion and minimization of side products during low-density polyethylene polymerizations performed in tubular reactors under steady-state conditions [170]. Genetic algorithms were used to compute the Pareto sets. Multi-objective optimization procedures were also used for the simultaneous maximization of molecular weight averages and minimization of batch times in epoxy semibatch polymerizations [171]. In this case, monomer feed rates were used as the manipulated variable. [Pg.344]

In control situations, equation (9) is reduced to just one discrete point, controlled variable. In this case the objective function set the perturbation, as well as the non-controlled variables, and the genetic algorithm predictive control is performed. Table 4 presents a series of simulations, for some common perturbations, and presents the new calculated values for the manipulated variable. The references values used for these calculations are t those presented prior to the steady state optimisation. The controlled variable is the temperature, while the manipulated is the fuel. [Pg.694]

In the first step a random population is being initialized. In the second, using a chosen selection scheme, a specific number of individuals is randomly selected to the temporary population. Then the genetic operators such as cross-over and mutation are working on the temporary population. In the next step a new population is established. It consists of base and temporary population best individuals. The algorithm s iterations is repeated until the termination condition is met (a certain number of iterations in this instance). Presented algorithm is a steady-state type. [Pg.162]

Montgomery, C.J., Yang, C., Parkinson, A.R., Chen, J.-Y. Selecting the optimum quasi-steady-state species for reduced chemical kinetic mechanisms using a genetic algorithm. Combust Elame 144, 37-52 (2006)... [Pg.304]


See other pages where Genetic Algorithm steady-state is mentioned: [Pg.497]    [Pg.319]    [Pg.481]    [Pg.63]    [Pg.497]    [Pg.319]    [Pg.481]    [Pg.63]    [Pg.3]    [Pg.56]    [Pg.1811]    [Pg.82]    [Pg.122]    [Pg.689]    [Pg.105]    [Pg.183]   
See also in sourсe #XX -- [ Pg.481 ]

See also in sourсe #XX -- [ Pg.481 ]

See also in sourсe #XX -- [ Pg.56 ]




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