Mixed optimization strategy based on eating particle swarm and conjugate gradient
WANG Jianchen1,QI Xiaohui1,SHAN Ganlin2
1. Department of Unmanned Plane Engineering, Ordnance Engineering College, Shijiazhuang Hebei 050003, China
2. Department of Electronic and Optical Engineering, Ordnance Engineering College, Shijiazhuang Hebei 050003, China
WANG Jianchen QI Xiaohui SHAN Ganlin. Mixed optimization strategy based on eating particle swarm and conjugate gradient[J]. Journal of Computer Applications, 2013, 33(08): 2257-2260.
[1]张英杰, 邵岁锋, Niyongabo J.一种基于云模型的云变异粒子群算法[J].模式识别与人工智能,2011, 24(1):90-96.[2]高立群,李若平,邹德旋.全局粒子群优化算法[J].东北大学学报:自然科学版, 2011, 32(11):1538-1541.[3]ZHAO S Z, LIANG J J, SUGANTHAN P N, et al. Dynamic multi-swarm particle swarm optimizer with local search for large scale global optimization [C]// Proceedings of 2008 IEEE Congress on Evolutionary Computation. Piscataway: IEEE, 2008: 3845-3852.[4]朱奇光,王洪瑞,陈颖.基于IC-PSO和ISM的反馈控制算法设计[J].光电子·激光, 2010, 21(7):1007-1012.[5]QTEISH A, HAMDAN M. Hybrid particle swarm and conjugate gradient optimization algorithm [C]// ICSI10: Proceedings of the First International Conference on Advances in Swarm Intelligence, LNCS 6145. Berlin: Springer-Verlag, 2010:582-588.[6]CHANG Y P. Integration of SQP and PSO for optimal planning of harmonic filters [J]. Expert Systems with Applications, 2010, 37(3): 2522-2530.[7]EBERHART R C, KENNEDY J. A new optimizer using particle swarm theory [C]// Proceedings of the Sixth International Symposium on Micro Machine and Human Science. Piscataway: IEEE, 1995:39-43.[8]甘旭升, 端木京顺, 孟月波,等.基于粒子群优化的WNN飞行数据气动力建模[J].航空学报, 2012, 33(7):1209-1217.[9]赖炎连, 贺国平. 最优化方法[M].北京:清华大学出版社, 2008.[10]倪庆剑,张志政,王蓁蓁,等.一种基于可变多簇结构的动态概率粒子群优化算法[J].软件学报,2009,20(2):339—349.[11]吴亮,蒋玉明.基于适应值的粒子群优化改进[J].计算机工程与设计, 2010,31(6):1283-1289.[12]沈锡,胡江强,尹建川.一种搜索空间自适应变化的自适应粒子群算法[J].大连海事大学学报, 2011, 37(1):103-106.