Abstract-Aiming at the influence of uncertain factors that impact on tasks and platforms in battlefield environment , adaptive optimization method based on uncertain event is proposed. Taking the uncertainty of platform loss and task implementing time into consideration, established a resource structure optimizing model which takes the minimum mission execution time as object function. And a Resource Structure Based on Cloud Genetic Algorithm is designed to adjust or redesign the platform resource structure according to the influence that uncertain events impact on organization resource capability while triggering optimization. The availability and validity of the algorithm is proved by demonstrating a simulation case of joint campaign.
Abstract. The paper mainly solved the problem of the design of command and control structure. First, the key elements in command and control structure are defined and we introduced the concept of work load of decision makers to describe the problem mathematically. Next, a mathematic model aimed at minimizing the root mean square of decision makers' work load is developed. Finally, we combine the quantum genetic algorithm with self-adaption strategy and get the self-adaption quantum genetic algorithm. Major characteristic of this algorithm is adjusting the quantum rotation gate, generating the crossover probability and the mutation probability in a self-adaption way. Experimental results show that the self-adaption quantum genetic algorithm has a feature of evolving fast and searching precise, and it can cluster the platforms well to accomplish the design of command and control structure.
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