基于混合遗传算法的水库群优化调度研究

Hybrid genetic algorithm-based optimal operation of reservoirs system

针对水库群系统调度模型中目标函数的高度非线性特点,提出利用十进制编码的混合遗传算法来进行求解.依据该模型中线性等式约束条件较多的特点,提出了初始种群有条件的随机生成方式以及非随机变异算子来处理的策略,而利用罚函数法来处理边界条件和其他非等式约束.

A hybrid genetic algorithm,which is based on floating point coding, is introduced to solve the optimal operation model of reservoirs system with high nonlinear objective function. For the much linear equated constraints, a stochastic generated method under certain conditions for original population and non\|stochastic mutation operator are developed; a penalty function method is also proposed to handle boundary conditions and other non\|equated constraints.