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�������պ����ѧѧ�� 2011, Vol. 37 Issue (10) :1228-1232    DOI: CNKI:11-2625/V.20111013.1436.008
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Route planning of cruise missile based on improved particle swarm algorithm
Sun Jian, Wu Sentang*
School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

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ժҪ ����Ⱥ�Ż�(PSO, Particle Swarm Optimization)�㷨�Ǽ��Ŵ��㷨����Ⱥ�㷨֮�����һ���µ�Ⱥ�������㷨,�������ڸ�����������.�����������ʽ�����������ռ��,��˸��ʺϽ�����������˵ĺ�·�滮����.��׼������Ⱥ�Ż��㷨��Ѱ�ŵĹ��������׳�����������,�����������,�����һ�ָĽ�������Ⱥ�Ż��㷨.�Ľ��㷨������Ӧ�Ĵ��ۺ���ѡ��Ӣ���Ӻͽϲ�����,�Խϲ����Ӳ����˴��ж��ܲ������ٶȸ��²���,�Ӷ�������Ѱ�Ź����е���������;�ڵ������ӵ��˶�����������������ӵ�ʧ�ܾ���,��Ⱥ����������Ч�ܿ�����.�������:�Ľ��㷨�ں�·�滮��Ӧ���о��и�ǿ����������,��õĺ�·�����ڽ���������ͬ��ǰ���¸�С.
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Abstract�� Particle swarm optimization algorithm(PSO) is new type swarm intelligence algorithm after genetic algorithm and ant colony optimization algorithm,which is usually used in solving complex problems. Because its iterative formula is continuous, PSO is more suitable to solve route planning without grid. To the problem of premature frequently appeared in standard particle swarm optimization, improved particle swarm optimization (IPSO) algorithm was proposed. IPSO firstly selected elite particles and bad particles according to relevant cost function,updated velocity of bad particles according to kinetic energy loss of elite particles to avoid premature in search process. Secondly IPSO proposed velocity update strategy with failure experience of worst particles to let particles avoid bad result. Result which use IPSO in route planning of missile shows that, IPSO has better search capability in route planning application and receives smaller cost if iterations are same.
Keywords�� particle swarm optimization algorithm   swarm intelligence   route planning     
Received 2010-06-02;


About author: �� ��(1983-),��,���ɹź��ͺ�����,��ʿ��,buaasunjian@126.com.
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Sun Jian, Wu Sentang.Route planning of cruise missile based on improved particle swarm algorithm[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2011,V37(10): 1228-1232
http://bhxb.buaa.edu.cn//CN/CNKI:11-2625/V.20111013.1436.008     ��     http://bhxb.buaa.edu.cn//CN/Y2011/V37/I10/1228
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