基于蚁群算法的静电探测器阵列优化设计

采用平面圆阵的被动式静电探测系统可以对远距离目标进行精确的定位．通过对圆阵的布设参数进行优化设计，可以提高静电探测圆阵对目标进行定位的准确性．蚁群算法具有求解快速、能够获得全局优化等优点，因此适合于复杂系统的优化问题求解．对静电探测圆阵的参数优化问题可以用有约束条件的组合优化模型来表示，而采用蚁群算法解决约束优化问题的具体方案经过改进可以应用于静电探测圆阵的参数优化设计．由仿真试验可以证明，算法能够显著的提高优化效率．因此，蚁群算法对解决静电探测圆阵布设参数的优化问题是可行并且有效的．

Optimization of Electrostatic Detecting Array Based on Ant Colony Algorithm

The passive electrostatic detecting system with round array can precisely detect the electrostatic target in a long distance.The accuracy of location of the target with electrostatic detecting system can be improved by parameter optimization of the array arrangement.Ant colony algorithm has the advantages of fast solution procedure and global optimization.Therefore,it can be used to optimize a sophisticate system.The optimization of electrostatic detecting round array can be regarded as a parameter optimization model with some constraint conditions. Since the problem of constraint optimization can be resolved with ant colony algorithm,the method can also be applied to the parameter optimization of electrostatic detecting round array with improvement.Through the simulative experiment,it can be concluded that the ant colony algorithm can achieve the reasonable optimization results of electrostatic detecting array and can evidently heighten the efficiency of optimization procedure.