Algorithm of Solving a Multiobjective Optimization Problem on the Basis of a Kinetic Chemical Reaction Model
E. V. Antipina, Светлана Мустафина, A. F. Antipin
Abstract
A numerical algorithm for determining the optimal regime parameters of a chemical process is developed. The problem of the multiobjective optimization of chemical process conditions is formulated in a general form. To solve the formulated problem, a genetic algorithm based on the FFGA method resulting in a set of Pareto-optimal solutions is given. Numerical experiment is performed for the thiol aminomethylation reaction to determine the optimal reaction time and temperature, which provide a maximum selectivity to the target reaction products.
Topics & Concepts
Mathematical optimizationMulti-objective optimizationProcess (computing)Pareto optimalBasis (linear algebra)Set (abstract data type)Chemical reactionGenetic algorithmPareto principleComputer scienceOptimization problemMathematicsChemistryOperating systemProgramming languageGeometryBiochemistryAdvanced Multi-Objective Optimization AlgorithmsProcess Optimization and IntegrationAdvanced Control Systems Optimization