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

^*Corresponding author for this work

School of Automation Science and Electrical Engineering

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	251-253
Number of pages	3
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	24
Issue number	3
State	Published - Mar 2004

Keywords

Genetic algorithm
Low-altitude-penetration
Objective function
Terrain model

Cite this

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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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T1 - Optimal route-planning method for 3D low-altitude-penetration trajectory based on genetic algorithm

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

UR - https://www.scopus.com/pages/publications/3142564733

M3 - 文章

AN - SCOPUS:3142564733

SN - 1001-0645

VL - 24

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EP - 253

JO - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

IS - 3

ER -

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

Abstract

Keywords

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