RETRACTED ARTICLE: Gauss interference ant colony algorithm-based optimization of UAV mission planning

被引：0
作者：
Fanlei Yan
机构：
[1] Tianjin Polytechnic University,Key Laboratory of Advanced Electrical Engineering and Energy Technology
[2] Tianjin Polytechnic University,School of Computer Science and Software Engineering
来源：
The Journal of Supercomputing | 2020年 / 76卷
关键词：
Gaussian disturbance; Ant colony optimization (ACO); UAV; Planning optimization;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
To enhance the effectiveness of UAV task planning optimization scheme, a UAV task planning optimization strategy based on Gaussian disturbance ant colony optimization (ACO) was proposed. Firstly, UAV task planning optimization model with expansion observability was obtained through correlation function estimation and subsequent zero space projection, as well as closed-loop subspace identification model and block matrix filling mode; secondly, ACO was used for solving multi-objective optimization problem so as to find out optimal character subset. Then, ACO was used for optimizing UAV task planning optimization model with expansion observability. At last, the simulation experiment verified the performance advantage of the proposed algorithm in the UAV task planning optimization scheme.
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收藏
页码：1170 / 1179
页数：9
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