Yang Shengxiang Home Paper Publications 中国地质大学（武汉）教师个人主页系统

Yang Shengxiang

+

博士学位

Doctoral Degree in Education

东北大学

Recommended Ph.D.Supervisor

Recommended MA Supervisor

Personal Information

Gender:Male

VIEW MORE

Home > Scientific Research > Paper Publications

H. Wang, S. Yang, W. H. Ip, and D. Wang. A particle swarm optimization based memetic algorithm for dynamic optimization problems. Natural Computing, 9(3): 703-725, September 2010. Springer (DOI: 10.1007/s11047-009-9176-2 and PDF File).
2018-09-23
L. Liu, S. Yang, and D. Wang. Particle swarm optimization with composite particles in dynamic environments. IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics, 40(6): 1634-1648, December 2010. IEEE Press (DOI: 10.1109/TSMCB.2010.2043527 and PDF File).
2018-09-23
S. Yang and S. N. Jat. Genetic algorithms with guided and local search strategies for university course timetabling. IEEE Transactions on Systems, Man, and Cybernetics Part C: Applications and Reviews, 41(1): 93-106, January 2011. IEEE Press (DOI: 10.1109/TSMCC.2010.2049200 and PDF File).
2018-09-23
X. Peng, X. Gao, and S. Yang. Environment identification based memory scheme for estimation of distribution algorithms in dynamic environments. Soft Computing, 15(2): 311-326, February 2011. Springer (DOI: 10.1007/s00500-010-0547-5, PDF File, and Source Code in Microsoft Visual C++ 6.0).
2018-09-23
R. Tinos and S. Yang. Self-adaptation of mutation distribution in evolution strategies for dynamic optimization problems. International Journal of Hybrid Intelligent Systems, 8(3): 155-168, June 2011. IOS Press (DOI: 10.3233/HIS-2011-0136 and PDF File).
2018-09-23
R. Tinos and S. Yang. Use of the q-Gaussian mutation in evolutionary algorithms. Soft Computing, 15(8): 1523-1549, August 2011. Springer (DOI: 10.1007/s00500-010-0686-8, PDF File and Source Code in C++).
2018-09-23
S. N. Jat and S. Yang. A hybrid genetic algorithm and tabu search approach for post enrolment course timetabling. Journal of Scheduling, 14(6): 617-637, December 2011. Springer (DOI: 10.1007/s10951-010-0202-0 and PDF File).
2018-09-23
L. Liu, S. Yang, and D. Wang. Force-imitated particle swarm optimization using the near-neighbor effect for locating multiple optima. Information Sciences, 182(1): 139-155, January 2012. Elsevier (DOI: 10.1016/j.ins.2010.11.013 and PDF File).
2018-09-23
C. Li, S. Yang, and T. T. Nguyen. A self-learning particle swarm optimizer for global optimization problems. IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics, 42(3): 627-646, June 2012. IEEE Press (DOI: 10.1109/TSMCB.2011.2171946 and PDF File).
2018-09-23
H. Wang, S. Yang, W. H. Ip, and D. Wang. A memetic particle swarm optimization algorithm for dynamic multi-modal optimization problems. International Journal of Systems Science, 43(7): 1268-1283, July 2012. Taylor & Francis (DOI: 10.1080/00207721.2011.605966 and PDF File).
2018-09-23

total87 3/9

first previous next last Page