Optimizing control mode of optical payloads based on multi-population genetic algorithm

Optimizing the control mode of optical payload could improve the payload´s work efficiency. When the mathematic model of payload´s control mode was established, optimization problems could be boiled down to seek the maximal value of the function with many variables. This paper put forward a calculational method to base the mathematic model, the calculational method was multi-population genetic algorithm (MPGA). After the 0-1 variables and real multidimensional ones had been coded separately, the algorithm established the populations independently, made the multidimensional variables as the centrosome and combined 0-1 ones to work out the maximal value of the function which was established to describe the control mode of the optical payload. Moreover, the emulational experiment had been done with the material arithmetic operators. The result indicates that the method using MPGA can hurdle the disadvantage of traditional ones which calculate slowly and get into local best value trap easily. It has the characters that not only fits large scale area scout, but also gets the best value in full scale rapidly, so this algorithm can better satisfy the technology demand for the intelligent control of optical payload.