基于改进粒子群优化算法的实时路径重规划

2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2019-01-01 DOI:10.1109/ICEICT.2019.8846303

Mingwei Lv, Chen Yang, Shaoqing Zhang

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引用次数: 1

摘要

本文正式定义了无人机三维实时航路重规划问题，并利用航路惩罚度对航路进行评价。提出了一种改进的粒子群优化算法(M-PSO)来解决实时路线重规划问题。仿真结果表明，改进的粒子群优化算法在解决三维实时路线重规划问题时具有更好的实时性和稳定性。它能快速搜索出避开所有威胁的路径，使种群中的个体达到收敛状态。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Real-time Route Re-planning based on Modified Particle Swarm Optimization Algorithm

In this paper, the problem of three-dimensional real-time route replanning for Unmanned Aerial Vehicl(UAV) is formally defined, and the route penalty degree is used to evaluate the route. A modified particle swarm optimization algorithm (M-PSO) is proposed to solve the real-time route replanning problem. The Simulation results show that the modified particle swarm optimization algorithm has better real-time and stability in solving the 3D real-time route replanning problem. It can quickly search for routes that can avoid all threat and make the individuals in the population reach convergence state.

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2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT)

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