基于粒子群算法的摩托化机动路径优化

Motorized Maneuvering Route Optimization Based on PSO

为使部队在摩托化机动中选择安全、高效的路线,通过对部队摩托化机动路径优化影响因素分析,探究机动过程中选择不易遭受敌打击的安全路径的方法。构建以安全性与时效性为目标函数期望值的优化模型,采用粒子群算法(PSO)求解模型,并经实例验证机动路径的可靠性。

In order to make the troops choose safe and efficient routes in motorized maneuver,the paper firstly analyzes the factors influencing the optimization of motorized maneuver routes.Secondly,it explores the avoidance of dangerous areas under the attack of the enemy in the course of maneuver.Thirdly,it constructs an optimization model with safety and timeliness as objective function expectation,and solves the model with PSO(particle swarm optimization).Finally,it verifies the reliability of maneuvering route through a real case.