摘要
我们运用遗传算法 ,首次对利用热带假丝酵母降解油脂的培养基优化问题进行了研究。通过 5代实验完成了 5 0个实验样本、6种培养基成分、6 4个浓度水平的优化任务。按照优化后的培养基组成 ,热带假丝酵母降解油脂的降解率为 95 .4 % ,比正交设计法提高了 7.6 3%。实验结果表明 :利用遗传算法可优化培养基成分含量 ,取得更好的效果 ;遗传算法是一种优于单因素试验法和正交设计法的新型、高效的培养基优化方法。
Medium optimization of the culture for oil-degradation by Candida tropicalis using genetic algorithms (GA) was studied. The 64 concentration levels of 6 medium components were optimized within 50 experiments. The results show that GA can be applied in the medium optimization and better results are obtained. Employing optimized medium composition, a final oil-degradation rate of 95.4% was obtained and it was improved by 6.94% compared to the results with the medium before optimization. GA is an efficient new medium optimum method which is superior to the other optimum means such as orthogonal array method.
出处
《分析化学》
SCIE
EI
CAS
CSCD
北大核心
2004年第4期481-484,共4页
Chinese Journal of Analytical Chemistry
基金
广东省自然科学基金资助项目 (No .0 15 0 12 )
