Optimization of regional coverage satellite constellations based on ant colony algorithm

WEI Jiao-long; CEN Zhao-hui

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Optimization of regional coverage satellite constellations based on ant colony algorithm

更新时间：2024-10-14

- Optimization of regional coverage satellite constellations based on ant colony algorithm
- Issue 8, Pages: 62-66(2006)
- 作者机构：
  
  1. 华中科技大学电子与信息工程系
  2. 华中科技大学电子与信息工程系,湖北,武汉,430074
- 作者简介：
- 基金信息：
- DOI：
  CLC： V57
- Published：2006
- 稿件说明：
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WEI Jiao-long, CEN Zhao-hui. Optimization of regional coverage satellite constellations based on ant colony algorithm[J]. 2006, (8): 62-66.
DOI：

WEI Jiao-long, CEN Zhao-hui. Optimization of regional coverage satellite constellations based on ant colony algorithm[J]. 2006, (8): 62-66. DOI：

摘要

首先建立了以区域覆盖性能为目标的卫星星座参数优化模型

通过在连续域定义新的蚂蚁分类与转移策略改进了蚁群算法

使算法能够兼顾多目标优化时目标不兼容的情况

给出了基于该算法实现星座参数优化的框架。优化仿真实验验证了该算法的有效性

可为星座方案决策提供有力的支持。

Abstract

First

an optimization model of constellation parameters aimed at improving coverage performance was built.Second

defining the new strategy of sorting and transferring based on Continuous space

Ant colony algotithm（ACA）was improved

the particular case that multi-objects could not be compatible was also included

and an optimization framework was proposed.Finally

the simulation results demonstrate the effect of ACA

which can improve the efficiency of optimization.

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