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论文:2014,Vol:32,Issue(4):630-636 |
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引用本文： |
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何建华, 王安龙, 陈松, 张越, 刘琨, 赵焕义. 基于改进MOSFLA的多机协同任务分配[J]. 西北工业大学 |
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He Janhua, Wang Anlong, Cheng Song, Zhang Yu, Liu Kun, Zhao Huanyi. Cooperative Task Assignment for Multiple Fighters Using Improved MOSFLA Algorithm[J]. Northwestern polytechnical university |
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| 基于改进MOSFLA的多机协同任务分配 |
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| 何建华1, 王安龙1, 陈松2, 张越1, 刘琨1, 赵焕义3 |
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1. 西北工业大学 电子信息学院, 陕西 西安 710129;
2. 中国电子科技集团 29 所, 四川 成都 610000;
3. 中航工业江西洪都航空工业集团有限责任公司, 江西 南昌 330024 |
| 摘要: |
| 为解决多机协同任务分配这一多约束组合优化问题,提出了一种基于矩阵二进制编码的改进多目标混合蛙跳算法(multi-objective shuffled frog-leaping algorithm,MOSFLA)的任务分配策略。首先,建立了基于目标剩余价值、战机攻击损耗和航程代价的多目标优化模型;然后,对混合蛙跳算法的位置更新策略进行了改进,以保证更新过程中解的可行性及算法的全局收敛能力;最后,利用改进算法求解多机协同对地攻击任务分配问题,得出问题的Pareto最优解集。仿真实验表明,改进算法能够在较短时间内同时得出多个分配方案,增加决策的灵活性。 |
| 关键词:
协同任务分配
混合蛙跳算法
多目标
矩阵二进制编码
Pareto最优解集
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| Cooperative Task Assignment for Multiple Fighters Using Improved MOSFLA Algorithm |
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| He Janhua1, Wang Anlong1, Cheng Song2, Zhang Yu1, Liu Kun1, Zhao Huanyi3 |
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1. Department of Electronics Engineering, Northwestern Polytechnical Universwity, Xi'an 710129, China;
2. Southwest China Ｒesearch Institute of Electronic Equipment, Chengdu 610000, China;
3. AVIC Jiangxi Hongdu Aviation Industry Group LTD, Nanchang, 330024, China |
| Abstract: |
| The multi-fighter cooperative task assignment problem is a multi-constrained combinatorial optimization problem. In order to solve this problem, a multi-objective shuffled frog-leaping algorithm (MOSFLA) based on ma-trix binary encoding is proposed. First of all, it establishes a multi-objective optimization model of task assignment by using the target residual value, the damages of fighters and the voyage costs. Then to ensure the feasibility of so-lutions produced in the update process and to ensure the global convergence capability of the improved algorithm, it improves the individual position update strategy of shuffled frog-leaping algorithm. Finally, it uses the improved al-gorithm to obtain the Pareto optimal solutions in air-to-ground attack mission assignment problem. Simulation results and their analysis show preliminarily that the improved algorithm can come in a variety of task assignment alterna-tives in a short time simultaneously, thus increasing the flexibility of the decision. |
| Key words:
fighter aircraft
binary encoding
multi objective optimization
cooperative task assignment
Pareto optimal solutions
shuffled frog-leaping algorithm(SFLA)
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| 收稿日期: 2013-12-08
修回日期:
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| DOI: |
| 基金项目: 航空科学基金(2013ZC53038)资助 |
| 通讯作者:
Email： |
| 作者简介: 何建华(1967-),西北工业大学副教授,主要从事航空火力控制原理、复杂系统建模与仿真及航空电子系统研究。
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| 相关功能 |
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| 作者相关文章 |
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| 何建华 在本刊中的所有文章 |
| 王安龙 在本刊中的所有文章 |
| 陈松 在本刊中的所有文章 |
| 张越 在本刊中的所有文章 |
| 刘琨 在本刊中的所有文章 |
| 赵焕义 在本刊中的所有文章 |
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