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Multiple flight vehicles trajectory global optimization based on improved natural running process algorithm

机译:基于改进自然运行过程算法的多飞行器轨迹全局优化

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摘要

Natural running process algorithm (NRPA) is a novel algorithm for multiple flight vehicles trajectories optimization problem. In this paper we provide an improved NRPA to optimize cooperation and confrontation trajectories for multiple flight vehicles. A new concept of rational value is proposed to make combined substances to evolve or eliminate depending on their states current and subsequent. This paper also introduces the calculation steps of the improved NRPA, and confirms the accuracy in solving optimization problem of multi-phase, multi-target, multilateral confrontations. Regarding on the cooperation and confrontation among multiply flight vehicles, several numerical simulation results have been provided to prove the feasibility of the improved NRPA, as well as superiority for the multilateral confrontations problem.
机译:自然行驶过程算法(NRPA)是一种用于多飞行器轨迹优化问题的新颖算法。在本文中,我们提供了一种改进的NRPA,以优化多架飞行器的协作和对抗轨迹。提出了一种新的合理价值概念,以使结合物质根据其当前和随后的状态而发展或消除。本文还介绍了改进后的NRPA的计算步骤,并确认了解决多阶段,多目标,多边对抗的优化问题的准确性。关于多重飞行器之间的合作与对抗,已提供了若干数值模拟结果,以证明改进的NRPA的可行性以及对多边对抗问题的优越性。

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