| 基于蚁群算法的我方机群优化分组 |
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| 引用本文： | 许骏马,姜长生,方神州. 基于蚁群算法的我方机群优化分组[J]. 航空兵器, 2009, 0(1): 42-45 |
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| 作者姓名： | 许骏马 姜长生 方神州 |
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| 作者单位： | 1. 南京航空航天大学,南京,210016
2. 中天钢铁集团有限公司,江苏,常州,213011 |
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| 基金项目： | 航空科学基金(20075152014) |
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| 摘 要： | 针对空战中我方机群分组问题，首先以敌方相应的空战能力、战术价值和分组情况以及我方空战能力建立我方机群分配模型，然后结合具有变异和自适应功能的蚁群算法，在分析了蚁群算法的状态转移、局部调整和全局调整规则的基础上，给出了我方机群分配优化算法，最后进行仿真实验，证明了算法的有效性
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| 关 键 词： | 机群分组 蚁群算法 智能优化算法 |
Optimization Grouping of Our Air Fleet Based on Ant Colony Algorithm |
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| XU Jun-ma,JIANG Chang-sheng,FANG Shen-zhou. Optimization Grouping of Our Air Fleet Based on Ant Colony Algorithm[J]. Aero Weaponry, 2009, 0(1): 42-45 |
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| Authors: | XU Jun-ma JIANG Chang-sheng FANG Shen-zhou |
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| Affiliation: | 1.Nanjing University of Aeronautics & Astronautics;Nanjing 210016;China;2.Zenith Steel Group Co.Ltd.;Changzhou 213011;China |
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| Abstract: | To solve the problem of our air fleet grouping,the paper first gives a model of air fleet grouping based on the enemy's attacking ability and the value of target in battle and our attacking ability as the criterion.Then,by using the idea of mutation and adaptive ant colony algorithm,the paper analyzes the rulers for state transfer,local adjustment and global adjustment for ant colony and presents the algorithm of our air fleet grouping.Finally,a simulation example is given,and the validity of the algorithm ... |
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| Keywords: | air fleet grouping ant colony algorithm intelligent optimization algorithm |
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