动态环境下网络化火控系统的优化与决策研究

With applying information technology to the military field, the advantages and importance of the networked combat are more and more obvious. Because of the low level of automation, the traditional decision-making method of combat command cannot adapt to the large-scale dynamic opposed process on the battlefield. Command decision-making of networked fire control system is a typical constrained optimization problem in dynamic environment, problem solving methods which combine cooperation and control method with memetic algorithm are researched and applied to node deployment and task allocation in this project. In full consideration of various types of constraints and indexes such as operation timing, geographical condition, shooting condition and degree of defense effect,a reasonable constrained optimization decision model is established. Constraints handling methods and feasible solution generation strategies are put forward according to characteristic of the constraints and the indexes, then an optimization and command decision-making method in dynamic environment is constructed. Feasibility and effectiveness of the method is verified by a distributed simulation system which simulates the command decision-making process. This research has the important theory significance and defense application value, and provides theoretical and methodological support for networked battle systems which consists of a variety of intelligent weapon platforms.

信息技术在军事领域的应用，使得网络化作战的优势和重要性越来越明显。传统的作战指挥决策手段因其自动化程度低，已经不能适应战场大规模动态对抗过程。本项目将网络化火控系统的指挥决策问题归结为动态环境下典型的约束优化问题，研究建立基于多节点战术行为协同与控制方法和Memetic算法相结合的问题优化求解手段，并将其应用于系统节点布局和任务分配问题中。研究内容包括在充分考虑作战时机、地理条件、射击条件和防御强度等多类型约束和指标条件的基础上，建立合理的约束优化决策模型，根据约束和指标条件的特点，设计约束处理方法和可行解生成策略，从而提出动态战场环境下的指挥决策优化求解方法，最终通过分布式仿真技术对网络化火控系统的指挥决策过程进行模拟，验证所提出理论方法的可行性和有效性。本项目的研究具有重要的理论意义和明确的国防应用价值，可以为各种以智能平台为主的网络化作战系统奠定理论和方法基础。

网络化火控系统作为网络技术和信息技术发展的产物，是现代作战体系结构的发展趋势。以解决网络化防空体系下的指挥优化决策问题为主要研究目标，研究工作从问题建模、求解和验证三方面展开。面向典型的作战任务，尽可能全面地考虑了网络化火控系统指挥决策问题中涉及约束和指标，建立了基于约束优化问题的数学模型。在模型求解过程中，从约束处理和可行解生成入手，应用多智能体系统理论中的引斥力控制方式、动态协作任务求解方法以及Memetic算法，研究了特定任务时合理的引斥力控制方式，提出了一种辅助式的混合决策机制，完成了多阶段优化求解策略的设计。根据项目需求和实验方案，利用组件化的程序设计方法对网络化火控系统仿真软件进行了改进，完成了对指挥决策全过程的模拟，验证了所提出理论方法的可行性和有效性，为提升系统的整体作战效能提供了有力的技术保障。

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