关键词: 组合遗传算法, 渣油加氢精制, 反应动力学模型, 参数估计, 混沌

Abstract: Through establishing an appropriate fitness function, the parameter estimation problem for residue hydrofining reaction kinetics model was formulated as a multi-dimensional functional optimization problem, which can be solved by Composite Genetic Algorithm (CGA). Chaotic sequences design method was introduced to construct the initialization population that was scattered uniformly over the entirely search space in order to maintain the diversity. The CGA randomly combined several effective crossover strategies with some suitable mutation strategies at each generation to create new offspring individuals. The simulation results on four benchmark problems demonstrate the effectiveness and robustness of the proposed algorithm. Taking a catalytic cracking unit in oil refinery as an example, a numerical application of the parameter estimation for residue hydrofining reaction kinetics model was solved. Satisfactory results were obtained.

Key words: composite genetic algorithm, residue hydrofining, reaction kinetics model, parameter estimation, chaotic