Abstract
With the rapid development of emerging technologies, the unmanned and intelligent degree of combat forces in the combat system of systems(SoS) has been continuously improved, making the operational equipment more diverse. How to better describe the multiple functions and forces hybrid combat SoS becomes a difficult problem. Changes in combat forces have transformed the operational style from single platform to cluster, which puts forward higher demands on the timeliness of the development of course of action(COA), which is the key step in the formulation of operational planning. It is of great military value to study the model of the hybrid new complex combat SoS, as well as the generation and optimization of the operational plan under the new combat model. This paper extends the FINC (Force, Intelligence, Networking, C2) model of heterogeneous networks, adds a variety of new intelligent unmanned combat force nodes, and proposes a new Force Intelligent Network C2 and Autonomous Model (FINCA 2 ) which represents more different types of function nodes and communication relationships between nodes. Based on this, this paper proposes six types of 12 kinds functionally simple, frequently used, and practically function chains (FC) for the new combat SoS. Through the Joint Mission Thread (JMT) method, the operational mission is decomposed to get specific operational actions, action relationships, and requirements list of function chains for the actions, and complete the matching of actions and resources. Based on the idea of sigmoid function in neural network, the multi-objective optimization algorithm NSGA-III is improved to find the Pareto frontier of the action order scheme that satisfies the task association relationship. Finally, the method proposed in this paper is verified by the case of a brigade-level combat SoS participating in border operations.
Highlights
The combat SoS is composed of operational entities with various functions
This paper combining with the characteristics of combat concept, based on the Joint Mission Thread (JMT) method, the index SoS of combat mission is decomposed, which mainly includes three steps: one is the decomposition of mission-level index; the other is the decomposition of tasks and activities-level indexs; the third is the decomposition of system/function chain-level indexs
Where, tj is the time when there is no task to start after there is task completed, l(tj) is the total function chain requirement of the tasks completed at the time tj, and nd is the connection consumption generated at the time tj
Summary
The combat SoS is composed of operational entities with various functions. With the development of information technology, the types and functions of weapons and equipment are more diverse. The node type and connection relationship are not very rich, and do not consider the new features brought by the multi-function node to the network of the combat SoS. It needs to be improved and extended to a more diverse FINCA2 network model. According to the characteristics of the combat action generation problem, the algorithm coding method is improved to meet the timing logic constraints. The second part summarizes the work related to the network description of the combat SoS network, the generation of operational plans, and the multi-objective optimization method.
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