Page 202 - 《软件学报》2021年第10期

3174 Journal of Software 软件学报 Vol.32, No.10, October 2021

References:
[1] Kennedy J, Eberhart R. Particle swarm optimization. In: Proc. of the IEEE Int’l Conf. on Neural Networks. Piscataway: IEEE, 1995.
942948. [doi: 10.1109/ICNN.1995.488968]
[2] Karaboga D, Basturk B. A powerful and efficient algorithm for numerical function optimization: Artificial bee colony (ABC)
algorithm. Journal of Global Optimization, 2007,39:459471. [doi: 10.1007/s10898-007-9149-x]
[3] Storn R, Price K. Differential evolution—A simple and efficient heuristic for global optimization over continuous spaces. Journal
of Global Optimization, 1997,11:341359. [doi: 10.1023/A:1008202821328]
[4] Rao RV, Savsani VJ, Vakharia DP. Teaching-learning-based optimization: A novel method for constrained mechanical design
optimization problems. Computer-aided Design, 2011,43(3):303315. [doi: 10.1016/j.cad.2010.12.015]
[5] Yang XS. Flower pollination algorithm for global optimization. In: Proc. of the 11th Int’l Conf. on Unconventional Computation
and Natural Computation. LNCS 7445, 2012. 240249. [doi: 10.1007/978-3-642-32894-7_27]
[6] Yang XS, Karamanoglu M, He XS. Multi-objective flower algorithm for optimization. Procedia Computer Science, 2013,18:
861868. [doi: 10.1016/j.procs.2013.05.251]
[7] Sharawi M, Emary E, Saroit IA, El-Mahdy H. Flower pollination optimization algorithm for wireless sensor network lifetime global
optimization. Int’l Journal of Soft Computing and Engineering, 2014,4(3):5459.
[8] Chiroma H, Khan A, Abubakar AI, Saadi Y, Hamza MF, Shuib L, Gital AY, Herawan T. A new approach for forecasting OPEC
petroleum consumption based on neural network train by using flower pollination algorithm. Applied Soft Computing, 2016,48:
5058. [doi: 10.1016/j.asoc.2016.06.038]
[9] Bekdaş G, Nigdeli SM, Yang XS. Sizing optimization of truss structures using flower pollination algorithm. Applied Soft
Computing, 2015,37:322331. [doi: 10.1016/j.asoc.2015.08.037]
[10] Majidpour H, Gharehchopogh FS. An improved flower pollination algorithm with Adaboost algorithm for feature selection in text
documents classification. Journal of Advances in Computer Research, 2018,9(1):2940.
[11] Peesapati R, Yadav VK, Kumar N. Flower pollination algorithm based multi-objective congestion management considering optimal
capacities of distributed generations. Energy, 2018,147:980994. [doi: 10.1016/j.energy.2018.01.077]
[12] Łukasik S, Kowalski PA. Study of flower pollination algorithm for continuous optimization. Advances in Intelligent Systems and
Computing, 2015,322:451459. [doi: 10.1007/978-3-319-11313-5_40]
[13] Madasu SD, Kumar MLSS, Singh AK. A flower pollination algorithm based automatic generation control of interconnected power
system. Ain Shams Engineering Journal, 2018,9(4):12151224. [doi: 10.1016/j.asej.2016.06.003]
[14] Draa A. On the performances of the flower pollination algorithm—Qualitative and quantitative analyses. Applied Soft Computing,
2015,34:349371. [doi: 10.1016/j.asoc.2015.05.015]
[15] Mahdad B, Srairi K. Security constrained optimal power flow solution using new adaptive partitioning flower pollination algorithm.
Applied Soft Computing, 2016,46:501522. [doi: 10.1016/j.asoc.2016.05.027]
[16] Zhou YQ, Wang R, Luo QF. Elite opposition-based flower pollination algorithm. Neurocomputing, 2015,188:294310. [doi: 10.
1016/j.neucom.2015.01.110]
[17] Xiao HH, Wan CX, Duan YM. Flower pollination algorithm based on complex method. Journal of Chinese Computer Systems,
2015,36(6):13731378 (in Chinese with English abstract).
[18] Chakraborty D, Saha S, Dutta O. DE-FPA: A hybrid differential evolution-flower pollination algorithm for function minimization. In:
Proc. of the Int’l Conf. on High Performance Computing and Applications. Bhubaneswar, 2014. 16. [doi: 10.1109/ICHPCA.2014.
7045350]
[19] Wang R, Zhou YQ, Qiao SL, Huang K. Flower pollination algorithm with bee pollinator for cluster analysis. Information Processing
Letters, 2016,116:114. [doi: 10.1016/j.ipl.2015.08.007]
[20] Xiao HH, Wan CX, Duan YM, Tan QL. Flower pollination algorithm based on gravity search mechanism. Acta Automatica Sinica,
2017,43(4):576594 (in Chinese with English abstract). [doi: 10.16383/j.aas.2017.c160146]
[21] He XS, Yang XS, Karamanoglu M, Zhao YX. Global convergence analysis of the flower pollination algorithm: A discrete-time
markov chain approach. Procedia Computer Science, 2017,108:13541364. [doi: 10.1016/j.procs.2017.05.020]