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Dynamic optimization of fed-batch bioreactors using the ant algorithm

机译:蚂蚁算法动态优化分批补料生物反应器

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The ant colony algorithm, mimicking the cooperative search behavior of ants in real life, has been employed for the dynamic optimization of fed-batch bioreactors. To test the capability of this new heuristic algorithm, two well-known and extensively studied systems have been chosen. The algorithm rapidly converges to optimal feed rate profiles, which maximize the overall production of the desired product and the profits in a computationally efficient and robust manner. The optimal profiles evolved are easy to implement in plant operation. The algorithm compares favorably with the other known techniques.
机译:模仿现实生活中蚂蚁的协作搜索行为的蚁群算法已用于补料分批生物反应器的动态优化。为了测试这种新的启发式算法的功能,选择了两个众所周知且经过广泛研究的系统。该算法迅速收敛到最佳进给速度曲线,从而以计算有效且稳定的方式最大化所需产品的整体产量和利润。所开发的最佳配置文件易于在工厂操作中实施。该算法与其他已知技术相比具有优势。

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