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针对蒸汽动力系统参数优化的整数非线性规划问题（ＮＬＰ）提出一种改进的遗传算法。该算法对连续变量采用连续化遗传算子进行处理，使得算法与原问题的对应更加自然有效。针对常见的提前收敛或局部最小现象提出几种算子。实例表明本方法能对蒸汽动力系统参数准确、迅速地进行优化。
An Integrative Nonlinear Programming Problem (NLP) Optimized for Steam Dynamic System Parameters An improved genetic algorithm is proposed. The algorithm uses continuous genetic operators to process continuous variables, making the correspondence between the algorithm and the original problem more natural and effective. Several operators are proposed for common premature convergence or local minima. The examples show that this method can optimize the steam dynamic system parameters accurately and quickly.