Modeling and Optimization of Complex Combat Systems Based on Symbiosis Theory

Under the current conditions of information-based warfare, combat systems exhibit characteristics such as collaborative operations, swarm tactics, intelligence, and unmanned operations. Effectively describing the dynamic evolution of combat systems, achieving efficient resource allocation and collaborative decision-making on the battlefield, and enhancing overall combat effectiveness and collaborative efficiency are challenging issues in the research of combat system optimization methods. This paper applies symbiosis theory to model combat systems and conducts evolutionary analysis, pointing out that combat systems evolve towards integrated endosymbiosis and integrated symmetrical mutualistic symbiosis. Based on this, the symbiosis degree optimization method is employed to extract key parameters influencing combat interactions and improve the intrinsic parameters of combat units to enhance overall coordination. The interactive interface optimization method is applied to improve the transmission capability and organizational structure of interaction interfaces, thereby increasing the interaction capability between combat units. Allocation coefficients for combat units are introduced into task allocation algorithms to ensure balanced task distribution. These methods provide effective means to improve the coordination, communication, and balanced distribution of combat tasks, thereby enhancing the overall performance of the combat system.