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Genetic Algorithms vs. Knowledge-Based Control of PHB Production

机译:遗传算法与知识的PHB生产控制

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The paper proposes an approach using Genetic Algorithm (GA) fordevelopment of optimal time profiles of key control variable of Poly-HydroxyButyrate(PHB) production process. Previous work on modeling and simulation of PHBprocess showed that it is a highly nonlinear process that needs special controllersbased on human experience, as such fuzzy logic controller proved to be a goodchoice. Fuzzy controllers are not totally replaced, due to the specific processknowledge that they contain. The achieved results are compared with previouslyproposed knowledge-based approach to the same optimal control task.
机译:本文提出了一种方法,采用遗传算法(GA)开发了聚 - 羟丁酸酯(PHB)生产方法的关键控制变量的最佳时间谱的开发。 以前关于PHBProcess的建模和仿真的工作表明,这是一种高度非线性的过程,需要对人类经验进行特殊的控制器,因为这种模糊逻辑控制器被证明是古董。 由于它们包含的具体过程,由于特定的过程,模糊控制器并未完全替换。 将实现的结果与以前的基于知识的方法进行比较,以相同的最佳控制任务。

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