| 一类生化系统稳态优化问题的求解算法 |
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| 引用本文： | 徐恭贤,吕迎皓,邢彦冰,于超.一类生化系统稳态优化问题的求解算法[J].锦州师范学院学报(自然科学版),2014(2):97-103. |
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| 作者姓名： | 徐恭贤 吕迎皓 邢彦冰 于超 |
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| 作者单位： | 渤海大学数理学院,辽宁锦州121013 |
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| 基金项目： | 国家自然科学基金（No：11101051,No：11371071）;辽宁省高等学校优秀人才支持计划资助项目（No：LIQ2013115）. |
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| 摘 要： | 针对一类生化系统的稳态优化问题，基于修正的迭代IOM （ Indirect Optimization Method，IOM）方法，提出了一种可快速求其最优解的迭代优化算法。该算法继承了修正迭代IOM方法可用线性规划计算的优点，但每次迭代求解时不再计算S-系统的动力阶参数。数值实验结果表明，该算法可行且有效，与已有的修正迭代IOM方法相比，具有计算成本低的优点。
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| 关 键 词： | 生化系统 稳态优化 算法 线性规划 |
An algorithm for solving steady -state optimization problem of a class of biochemical systems |
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| XU Gong-xian,LV Ying-hao,XING Yan-bing,YU Chao.An algorithm for solving steady -state optimization problem of a class of biochemical systems[J].Journal of Jinzhou Normal College (Natural Science Edition),2014(2):97-103. |
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| Authors: | XU Gong-xian LV Ying-hao XING Yan-bing YU Chao |
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| Institution: | ( College of Mathematics and Physics, Bohai University, Jinzhou, Liaoning 121013, China) |
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| Abstract: | An iterative optimization algorithm that can rapidly solve the steady -state optimization problem of a class of biochemical systems is proposed according to a modified iterative IOM （ Indirect Optimization Meth-od, IOM） approach.This algorithm takes advantage of the modified iterative IOM approach that can be solved with available linear programming techniques .But no kinetic order parameters are required to be computed at each iteration of the proposed optimization algorithm .Numerical experiments show the tractability and effective-ness of the presented method .Compared with the original modified iterative IOM approach , the proposed algo-rithm has a low computational burden . |
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| Keywords: | biochemical systems steady-state optimization algorithm linear programming |
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