Optimal route-planning method for 3D low-altitude-penetration trajectory based on genetic algorithm

Jian Ying Yang; Hai Zhang; Jian Yin

Optimal route-planning method for 3D low-altitude-penetration trajectory based on genetic algorithm

Jian Ying Yang^*
, Hai Zhang
, Jian Yin

^*此作品的通讯作者

自动化科学与电气工程学院

Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

Based on the genetic algorithm (GA), a direct 3-dimensional algorithm is proposed for low-altitude-penetration trajectory under conditions of complex terrain and threat. Optimal trajectories are given by optimizing the original code group (chromosome), objective function, and genetic operators such as reproduction, crossover and mutation. Coordinate direct code design, super gene protection, distributed search and guide variation are adopted. Simulation results proved that the method is logical, feasible and effective.

源语言	英语
页（从-至）	251-253
页数	3
期刊	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
卷	24
期	3
出版状态	已出版 - 3月 2004

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引用此

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title = "Optimal route-planning method for 3D low-altitude-penetration trajectory based on genetic algorithm",

abstract = "Based on the genetic algorithm (GA), a direct 3-dimensional algorithm is proposed for low-altitude-penetration trajectory under conditions of complex terrain and threat. Optimal trajectories are given by optimizing the original code group (chromosome), objective function, and genetic operators such as reproduction, crossover and mutation. Coordinate direct code design, super gene protection, distributed search and guide variation are adopted. Simulation results proved that the method is logical, feasible and effective.",

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AU - Yang, Jian Ying

AU - Zhang, Hai

AU - Yin, Jian

PY - 2004/3

Y1 - 2004/3

N2 - Based on the genetic algorithm (GA), a direct 3-dimensional algorithm is proposed for low-altitude-penetration trajectory under conditions of complex terrain and threat. Optimal trajectories are given by optimizing the original code group (chromosome), objective function, and genetic operators such as reproduction, crossover and mutation. Coordinate direct code design, super gene protection, distributed search and guide variation are adopted. Simulation results proved that the method is logical, feasible and effective.

AB - Based on the genetic algorithm (GA), a direct 3-dimensional algorithm is proposed for low-altitude-penetration trajectory under conditions of complex terrain and threat. Optimal trajectories are given by optimizing the original code group (chromosome), objective function, and genetic operators such as reproduction, crossover and mutation. Coordinate direct code design, super gene protection, distributed search and guide variation are adopted. Simulation results proved that the method is logical, feasible and effective.

KW - Genetic algorithm

KW - Low-altitude-penetration

KW - Objective function

KW - Terrain model

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Optimal route-planning method for 3D low-altitude-penetration trajectory based on genetic algorithm

摘要

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