| 自适应域多群体遗传算法求解发酵动力学模型参数 |
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| 引用本文：刘德玲,谢盛嘉,关晓颖.自适应域多群体遗传算法求解发酵动力学模型参数[J].计算技术与自动化,2010,(3):18-23 |
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| 中文摘要:发酵动力学模型参数估计是基于最小二乘的参数估计问题，是根据满足最小二乘的标准来解决模型的最佳参数匹配，求解该问题可采用遗传算法，但简单遗传算法容易陷入局部最优。本文提出一种自适应域多群体遗传算法，它通过自调整参数域，避免陷入局部最优，同时还提高搜索到的解是全局最优解的可靠性，适用于很多领域的应用优化问题。 |
| 中文关键词:自适应域 遗传算法（GA） 发酵 参数估计 |
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| Parameter Estimation of Fermentation Dynamics Models by Adaptive Domain with Multiple Genetic Algorithms |
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| Abstract:The parameter estimation of the fermentation kinetics model is an estimation problem based on least-squares, and resolves the optimal parameters matching of the model based on least squares criteria. But the simple genetic algorithm is easy to fall into the local optimal. This paper presents a Adaptive Domain Method With Multiple Genetic Algorithms. It avoids falling into local optimum through self-adjusting the parameter domain, and also improves the reliability that the solution searched is global optimal solution, and is applicable to applied optimization problems in many areas. |
| keywords:adaptive domain genetic algorithm (GA) fermentation parameter estimation |
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