The improved immue genetic algorithm introces the immune mechanism

such as antigen recognition

antibody diversity

immune memory

and concentration regulation etc.

into the genetic algorithm(AG)

and the genetic competition process being devided into two steps

namely competion among 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 enhance the economic efficiency in operation of units

calculation results by using practical examples verifies that the said method has good superiority for load optimization distribution among units.