Research Status and Development of Intelligent Optimization Methods for Mission Schemes

The mission environment has become more and more complex, and the tempo has obviously accelerated. As a result, the traditional manual decision-making can no longer meet the requirements. There is a strong need for an advanced decision-making system to assist decision makers in carrying out on-the-spot mission command. To better carry out the research on artificial intelligent recommendation methods for mission schemes, this paper collated the research articles in this direction in China and abroad in recent years and divided the intelligent recommendation methods into three categories, namely intelligent analysis, intelligent matching, and intelligent learning. It elaborated on the core principles, technical paths, and typical applications of various methods and simultaneously analyzed the advantages and disadvantages of the three types of methods. It identified the deficiencies of the existing methods in terms of dynamic adaptability, autonomous decision-making ability, data dependence, and credibility. Finally, the future development direction was prospected, providing valuable references for subsequent research in this field.