[1]杨景明,陈伟明,车海军,等. 基于粒子群算法优化支持向量机的铝热连轧机轧制力预报[J].计量学报,2016,37(1): 71-74.
Yang J M, Chen W M, Che H J, et al. Rolling Force Prediction Based on Support Vectors Machine with Particle Swam Optimization [J].Acta Metrologica Sinica, 2016, 37(1): 71-74.
[2]程淑红,高许,程树春,等.基于计算机视觉的运动车辆检测[J]. 计量学报, 2017, 38(3): 288-291.
Cheng S H, Gao X, Cheng S C, et al. Moving Vehicle Detection Based on Computer Vision[J]. Acta Metrologica Sinica, 2017, 38(3): 288-291.
[3]张火明,高明正,张晓菲,等.智能优化平台的并行实现及在光学设计中的应用研究[J]. 计量学报 2011, 32(2): 131-136.
Zhang H M, Gao M Z, Zhang X F,et al.Parallel Implementation of Intelligent Optimization Platform and Application in Optical Design[J].Acta Metrologica Sinica, 2011,32(2): 131-136.
[4]吕振肃,侯志荣.自适应变异的粒子群优化算法[J].电子学报,2004,32(3):416-420.
Lv Z S, Hou Z R. Particle Swarm Optimization with Adaptive Mutation [J].Acta Electronica Sinica,2004,32(3):416-420.
[5]高鹰,谢胜利.基于模拟退火的粒子群优化算法 [J].计算机工程与应用,2004,40(1):47-50.
Gao Y, Xie S L. Particle Swam Optimization Algorithms Based on Simulated Anealing [J]. Computer Engineering and Applications, 2004, 40(1):47-50.
[6]Liang J J,Qin A K,Suganthan P N, et al.Comprehensive learning particle swarm optimizer for global optimization of multimodal functions [J].IEEE Transactions on Evolutionary Computation, 2006,10(3):281-295.
[7]胥小波,郑康锋,李丹,等.新的混沌粒子群优化算法[J].通信学报,2012,33(1):24-30,37.
Xue X B, Zheng K F, Li D, et al. New Chaos-Particle Swarm Optimization Algorithm [J].Journal of Communications, 2012, 33(1):24-30,37.
[8]赵新超,刘国莅,刘虎球,等.基于非均匀变异和多阶段扰动的粒子群优化算法[J].计算机学报,2014,37(9):2058-2070.
Zhao X C, Liu G L, Liu H Q, et al. Particle Swarm Optimization Based on Non-Uniform Mutation and Mutiple States Perturbation [J].Chinese Journal of Computer, 2014, 37(9):2058-2070.
[9]夏学文,刘经南,高柯夫,等.具备反向学习和局部学习能力的粒子群算法[J].计算机学报,2015,38(7):1397-1407.
Xia X W, Liu J N, Gao K F, et al. Particle Swarm Optimization Algorithm[J]. Chinese Journal of Computer, 2015, 38(7):1397-1407.
[10]刘金洋,郭茂祖,邓超.基于雁群启示的粒子群优化算法[J].计算机科学,2006,33(11):166-168,191.
Liu J Y, Gao M Z, Deng Chao. GeesePSO: An Efficient Improvement to Particle Swarm Optimization [J]. Computer Science, 2006, 33(11):166-168,191.
[11]高鹰.一种自适应扩展粒子群优化算法[J].计算机工程与应用,2006,42(15):12-15.
Gao Y. An Adaptive Extended Particle Swam Optimization Algorithm [J]. Computer Engineering and Applications, 2006, 42(15):12-15.
[12]Shi Y,Eberhart R.Modified particle swarm optimizer [C]// IEEE International Conference on Evolutionary Computation Proceedings,1998.IEEE World Congress on Computational Intelligence. IEEE Xplore,1997:69-73.
[13]胡旺,李志蜀.一种更简化而高效的粒子群优化算法[J].软件学报,2007,18(4):861-868.
Hu W, Li Z S. A Simpler and More Effective Particle Swarm Optimization Algorithm [J]. Journal of Software, 2007, 18(4):861-868.
[14]Liang X,Zou T,Guo B,et al.Assessing Beijings PM2.5pollution: severity,weather impact,APEC and winter heating [J].Proceedings of the Royal Society A Mathematical Physical & Engineering Sciences,2015,471(2182):20150257. |