一类生化系统稳态优化问题的求解算法

An algorithm for solving steady-state optimization problem of a class of biochemical systems

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.

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 .