Ontology-Based Combat Force Modeling and Its Intelligent Planning Using Genetic Algorithm

Abstract

Modern warfare is under high-tech conditions, and joint operations of various services and arms have become the main combat form. It is necessary to make full use of the existing weapons and equipment of multiple services and arms, and display the overall combat effectiveness of the global joint force through mixed clusters. The effectively modeling of combat forces and intelligent planning by the task are core problems. In this paper, we proposed to use ontology technology to model the combat force, which defining the basic entity attributes, force relationships, and behaviors capabilities of combat forces from multiple dimensions. Then, the combat tasks framework is modeled by the vector and presented, thus the task oriented combat force planning is transferred into an optimization problems. On this basis, the genetic algorithm is proposed to get the “demand-capability” mapping matrix, which can quickly return the recommended combat force by different task.