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一种新型启发式搜索算法研究

Study on a Kind of Heuristic Searching Algorithm
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摘要 提出了一种用于解决复杂优化问题的新的启发式算法——蚁群算法。采用该算法进行了无人机的航路规划,为求解无人机航路规划问题提供了一种新的算法。该算法对传统蚁群算法进行了改进,更好地解决了无人机的航路规划问题,文中进行了相应的仿真,仿真结果表明了算法的有效性。 A new heuristic algorithm-ant colony algorithms is presented to resolve route planning for UAV(Unmanned Aerial Vehicles).It provides a new method to the route planning.In the paper,the original ant colony algorithm is im- proved to resolve route planning more efficiently.The simulation result demonstrates that the algorithm is effective.
出处 《弹箭与制导学报》 CSCD 北大核心 2006年第S8期764-766,共3页 Journal of Projectiles,Rockets,Missiles and Guidance
关键词 蚁群算法 信息素 无人机 航路规划 ant algorithm pheromone UAV path planning
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