中文摘要：

改进型免疫遗传算法在遗传算法中引入了免疫系统的抗原识别、抗体多样性、免疫记忆、浓度调节等机制，且将遗传竞争分为子种群问和子种群内部个体问的两级竞争，从而能够快速、稳定地收敛到全局最优点。为此，提出了一种基于免疫遗传算法的母管制机组负荷优化分配方法，以提高机组运行的经济性。实际计算结果证明，该方法对机组的负荷优化分配具有良好的优越性。

英文摘要：

The improved immue genetic algorithm introces the immune mechanism, such as antigen rec- ognition, antibody diversity,immune memory, and concentration regulation etc. , into the genetic algo- rithm （AG）,and the genetic competition process being derided into two steps, namely competion a- mong sub- populations and competion among individuals in a sub- population,thereby,it can rapidly and stably to converge to a global optimal point. For this, a load optimization distribution method based on the immune genetic algorithm among units with header system has been put forward, so as to en- hance the economic efficiency in operation of units, calculation results by using practical examples veri- fies that the said method has good superiority for load optimization distribution among units.