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Collaborative Firefly Algorithm for Solving Dynamic Control Model of Chemical Reaction Process System

机译:用于求解化学反应过程系统动态控制模型的协作萤火虫算法

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Chemical reaction system, dynamic operation can significantly increase the average rate of reaction, improve the time-average selectivity of complex reactions and enhance the molecular weight distribution of certain free-radical polymerization reactions, overcome the thermodynamic limitations of reversible reactions. It even can be used as integrated means of exothermic/endothermic reaction and catalytic reaction/catalyst regeneration, opens up new ways to strengthen and control the reaction process, reduce waste emissions, and increase economic and social benefits. Therefore, it has great significance to model, simulate and calculate the process of chemical reaction. In this paper, a cooperative firefly algorithm is proposed to solve the optimal dynamic model of chemical reaction. The characteristics of the proposed algorithm are analyzed in detailed and the simulation results of the algorithm are given. It provides a feasible solution to solve such problems and the simulation results also show the effectiveness of the proposed algorithm.
机译:化学反应系统,动态操作可以显着增加平均反应速率,提高复杂反应的时间平均选择性,增强某些自由基聚合反应的分子量分布,克服了可逆反应的热力学限制。它甚至可以用作放热/吸热反应和催化反应/催化剂再生的综合手段,开辟了加强和控制反应过程的新方法,减少了垃圾排放,增加了经济和社会效益。因此,它对模型具有重要意义,模拟和计算化学反应过程。本文提出了一种合作萤火虫算法来解决化学反应的最佳动态模型。详细分析了所提出的算法的特征,并给出了算法的仿真结果。它提供了一种解决这些问题的可行解决方案,仿真结果还显示了所提出的算法的有效性。

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