To effectively solve the unit optimal commitment of power system, an improved parthenogenetic algorithm (IPGA) is presented.
为了有效地解决火电厂机组优化组合问题，作者提出了一种改进的单亲遗传算法。
Comparing with traditional unit optimal commitment method, this method can manage the complicated constraints of unit optimal commitment expediently.
与传统的机组优化组合方法相比，该方法能方便地处理机组优化组合问题的复杂约束条件。
Power system unit commitment, a problem of nonlinear commitment optimization with typical large-scale hybrid integers, is difficult to get an optimal solution in theory.
电力系统机组组合问题是一个典型的大规模混合整数的非线性组合优化问题，很难得到理论上的最优解。
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