Mass Exchange Network Mass Transfer Load Infeasibility Treatment and Dynamic Regulation Strategy
In the optimization of mass exchange networks with mass transfer load as the optimization variable,using the penalty function method to deal with infeasible solutions that violate the feasible constraints on mass transfer will limit the generation of mass transfer units,and at the same time bring negative effects on the optimization algorithm's optimization path.In view of this,the negative impact of the penalty function method to deal with mass transfer constraints on optimization is analyzed,based on which a dynamic regulation strategy of mass transfer load is proposed to deal with the units mass transfer constraints by using different regulation methods,attenuating the mass transfer load of the units that violate the mass transfer constraints or eliminating the unit to ensure that the mass transfer units in the structure not violate the constraints.The validation is carried out by two mass exchange network arithmetic examples,and the obtained results demonstrate the effectiveness of the strategy by decreasing 2 943 $·a-1 and 1 697 $·a-1,respectively,compared with the optimal results in the literature,and increasing the number of mass transfer units in the structure.
mass exchange networkprocess integrationrandom walk algorithm with compulsive evolutioninfeasible solutions
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