控制理论与应用2011，Vol.28Issue(5)：722-726,5.
改进型遗传算法在机组负荷优化组合中的应用
Optimization of unit commitment of marine power system using improved genetic algorithm
摘要
Abstract
In accordance with the characteristics of the unit commitment problem in marine power system, we propose an improved genetic algorithm with-both float-point coding and binary coding. To apply the nonlinear 0-1 mixed integer programming to the optimization of the unit commitment, other items in the algorithm are modified accordingly, including the coding and decoding modes, initial population creation, constraint conditions disposal, fitness function selection, genetic operators and the control parameters modulation. In the application of this improved algorithm, not only the constraint conditions can be handled more readily, but the convergence speed and the solution precision are also improved. The application advantage is demonstrated by a 2% reduction in average oil consumption rate.关键词
遗传算法/优化分配/惩罚函数Key words
genetic algorithm/ unit commitment/ penalty function分类
信息技术与安全科学引用本文复制引用
杨昆,欧阳光耀,陈海龙..改进型遗传算法在机组负荷优化组合中的应用[J].控制理论与应用,2011,28(5):722-726,5.基金项目
十一五国防技术研究项目资助项目(HJ5022008095). （HJ5022008095）
