Optimization of Missile Path Planning Based on APMO-HV Algorithm

Hu Zhang; Shuai Wang; Tonglin Liu; Aimin Zhou; Yi Zhang

doi:10.1109/ICUS48101.2019.8996084

Optimization of Missile Path Planning Based on APMO-HV Algorithm

Hu Zhang
, Shuai Wang^*
, Tonglin Liu
, Aimin Zhou
, Yi Zhang

^*此作品的通讯作者

计算机科学与技术学院

Beijing Electro-mechanical Engineering Institute
Changzhou University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 引用（Scopus）

摘要

In this paper, with considerations of low efficiency of missile path planning (MPP) by traditional aggregation technology, it uses affinity propagation based multi-objective evolutionary algorithm with hypervolume environment selection (APMO-HV) to solve the problem of MPP after establishing the MPP model. The experimental part compares and analyzes APMO-HV with six state-of-the-art algorithms, and applies it to address the MPP problem. The experimental results show that compared with the other six algorithms, APMO-HV has achieved the best solution performance in both the GLT test suite and MPP problem. This not only validates the effect of the proposed algorithm, but also enriches and improves the research results of MPP.

源语言	英语
主期刊名	Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019
出版商	Institute of Electrical and Electronics Engineers Inc.
页	495-501
页数	7
ISBN（电子版）	9781728137926
DOI	https://doi.org/10.1109/ICUS48101.2019.8996084
出版状态	已出版 - 10月 2019
活动	2019 IEEE International Conference on Unmanned Systems, ICUS 2019 - Beijing, 中国期限: 17 10月 2019 → 19 10月 2019

丛书

姓名	Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019

会议

会议	2019 IEEE International Conference on Unmanned Systems, ICUS 2019
国家/地区	中国
市	Beijing
时期	17/10/19 → 19/10/19

访问文件

10.1109/ICUS48101.2019.8996084

其它文件与链接

链接到 Scopus 的出版物

引用此

Zhang, H., Wang, S., Liu, T., Zhou, A., & Zhang, Y. (2019). Optimization of Missile Path Planning Based on APMO-HV Algorithm. 在 Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019 (页码 495-501). 期刊论文 8996084 (Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICUS48101.2019.8996084

@inproceedings{06852fda3dec45cebb8b57bed42bff20,

title = "Optimization of Missile Path Planning Based on APMO-HV Algorithm",

abstract = "In this paper, with considerations of low efficiency of missile path planning (MPP) by traditional aggregation technology, it uses affinity propagation based multi-objective evolutionary algorithm with hypervolume environment selection (APMO-HV) to solve the problem of MPP after establishing the MPP model. The experimental part compares and analyzes APMO-HV with six state-of-the-art algorithms, and applies it to address the MPP problem. The experimental results show that compared with the other six algorithms, APMO-HV has achieved the best solution performance in both the GLT test suite and MPP problem. This not only validates the effect of the proposed algorithm, but also enriches and improves the research results of MPP.",

keywords = "evolutionary algorithm, hypervolume environment selection, missile path planning, multi-objective optimization",

author = "Hu Zhang and Shuai Wang and Tonglin Liu and Aimin Zhou and Yi Zhang",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Unmanned Systems, ICUS 2019 ; Conference date: 17-10-2019 Through 19-10-2019",

year = "2019",

month = oct,

doi = "10.1109/ICUS48101.2019.8996084",

language = "英语",

series = "Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "495--501",

booktitle = "Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019",

address = "美国",

}

Zhang, H, Wang, S, Liu, T, Zhou, A & Zhang, Y 2019, Optimization of Missile Path Planning Based on APMO-HV Algorithm. 在 Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019., 8996084, Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019, Institute of Electrical and Electronics Engineers Inc., 页码 495-501, 2019 IEEE International Conference on Unmanned Systems, ICUS 2019, Beijing, 中国, 17/10/19. https://doi.org/10.1109/ICUS48101.2019.8996084

Optimization of Missile Path Planning Based on APMO-HV Algorithm. / Zhang, Hu; Wang, Shuai; Liu, Tonglin 等.
Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 页码 495-501 8996084 (Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Optimization of Missile Path Planning Based on APMO-HV Algorithm

AU - Zhang, Hu

AU - Wang, Shuai

AU - Liu, Tonglin

AU - Zhou, Aimin

AU - Zhang, Yi

PY - 2019/10

Y1 - 2019/10

N2 - In this paper, with considerations of low efficiency of missile path planning (MPP) by traditional aggregation technology, it uses affinity propagation based multi-objective evolutionary algorithm with hypervolume environment selection (APMO-HV) to solve the problem of MPP after establishing the MPP model. The experimental part compares and analyzes APMO-HV with six state-of-the-art algorithms, and applies it to address the MPP problem. The experimental results show that compared with the other six algorithms, APMO-HV has achieved the best solution performance in both the GLT test suite and MPP problem. This not only validates the effect of the proposed algorithm, but also enriches and improves the research results of MPP.

AB - In this paper, with considerations of low efficiency of missile path planning (MPP) by traditional aggregation technology, it uses affinity propagation based multi-objective evolutionary algorithm with hypervolume environment selection (APMO-HV) to solve the problem of MPP after establishing the MPP model. The experimental part compares and analyzes APMO-HV with six state-of-the-art algorithms, and applies it to address the MPP problem. The experimental results show that compared with the other six algorithms, APMO-HV has achieved the best solution performance in both the GLT test suite and MPP problem. This not only validates the effect of the proposed algorithm, but also enriches and improves the research results of MPP.

KW - evolutionary algorithm

KW - hypervolume environment selection

KW - missile path planning

KW - multi-objective optimization

UR - https://www.scopus.com/pages/publications/85080929994

U2 - 10.1109/ICUS48101.2019.8996084

DO - 10.1109/ICUS48101.2019.8996084

M3 - 会议稿件

AN - SCOPUS:85080929994

T3 - Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019

SP - 495

EP - 501

BT - Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE International Conference on Unmanned Systems, ICUS 2019

Y2 - 17 October 2019 through 19 October 2019

ER -

Zhang H, Wang S, Liu T, Zhou A, Zhang Y. Optimization of Missile Path Planning Based on APMO-HV Algorithm. 在 Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 页码 495-501. 8996084. (Proceedings of the 2019 IEEE International Conference on Unmanned Systems, ICUS 2019). doi: 10.1109/ICUS48101.2019.8996084

Optimization of Missile Path Planning Based on APMO-HV Algorithm

摘要

丛书

会议

访问文件

其它文件与链接

学术指纹

引用此