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Genetic and Evolutionary Algorithms
Memetic Computing
Swarm Intelligence (Particle Swarm optimization and Ant Colony Optimization)
Estimation of Distributions Algorithms
Meta-heuristics and Hyper-heuristics
Artificial Neural Networks for Scheduling
Combinatorial Optimization, Multi-objective Optimization, and Dynamic Optimization
Intelligent Network Systems
Bioinformatics, Systems and Synthetic Biology
Data Mining and Intelligent Data Analysis
Network Flow Problems and Algorithms
- S. Yang, Y.-S. Ong, and Y. Jin (guest editors), Evolutionary Computation in Dynamic and Uncertain Environments, Special Issue of Genetic Programming and Evolvable Machines, Vol. 7, No. 4, pp. 293-404, December 2006, Springer Netherlands, ISSN: 1389-2576 (Print) 1573-7632 (Online).
- H. Cheng, S. Yang, X. Yao and M. Zhang (guest editors), Computational Intelligence for Cloud Computing, Special Issue of IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 2, No. 1, pp. 1-50, February 2018, IEEE Press, ISSN: 2471-285X (Online).
- F. Rothlauf et al. (eds.), Proceedings of the 2005 Workshops on Genetic and Evolutionary Computation, ACM Press, New York, USA, 2005 (DOI: 10.1145/1102256).
- Giacobini, M.; Brabazon, A.; Cagoni, S.; Di Caro, G.A.; Drechsler, R.; Farooq, M.; Fink, A.; Lutton, E.; Machado, P.; Minner, S.; O'Neill, M.; Romero, J.; Rothlauf, F.; Squillero, G.; Takagi, H.; Uyar, A.S.; Yang, S. (eds.), EvoWorkshops 2007: Applications of Evolutionary Computing, Lecture Notes in Computer Science, vol. 4448, Springer, ISBN: 978-3-540-71804-8, June 2007 (DOI: 10.1007/978-3-540-71805-5).
- Giacobini, M.; Brabazon, A.; Cagnoni, S.; Di Caro, G.A.; Drechsler, R.; Ekart, A.; Esparcia-Alcazar, A.I.; Farooq, M.; Fink, A.; McCormack, J.; O'Neill, M.; Romero, J.; Rothlauf, F.; Squillero, G.; Uyar, S.; Yang, S. (eds.), EvoWorkshops 2008: Applications of Evolutionary Computing, Lecture Notes in Computer Science, vol. 4974, Springer, ISBN: 978-3-540-78760-0, May 2008 (DOI: 10.1007/978-3-540-78761-7).
- Giacobini, M.; Brabazon, A.; Cagnoni, S.; Di Caro, G.A.; Ekart, A.; Esparcia-Alcazar, A.I.; Farooq, M.; Fink, A.; Machado, P.; McCormack, J.; O'Neill, M.; Neri, F.; Preuss, M.; Rothlauf, F.; Tarantino, E.; Yang, S. (eds.), EvoWorkshops 2009: Applications of Evolutionary Computing, Lecture Notes in Computer Science, vol. 5484, Springer, ISBN: 978-3-642-01128-3, April 2009 (DOI: 10.1007/978-3-642-01129-0).
- Jin, Y.; Yang, S.; Polikar, R. (eds.), Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, IEEE Press, ISBN: 978-1-4244-9930-4, April 2011 (DOI: 10.1109/CIDUE.2011.5948495).
- Jin, Y.; Polikar, R; Yang, S. (eds.), Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, IEEE Press, ISBN: 978-1-4673-5849-1, April 2013 (DOI: 10.1109/CIDUE.2013.6595764).
- S. Yang and X. Yao (eds.), Evolutionary Computation for Dynamic Optimization Problems, in the series Studies in Computational Intelligence, vol. 490. Springer, Heidelberg, ISSN: 1860-949X (Print) 1860-9503 (Online), ISBN: 978-3-642-38415-8 (Print) 978-3-642-38416-5 (eBook), May 2013 (Product Flyer, Front Matter, and DOI: 10.1007/978-3-642-38416-5). The book was one of the top 25% most downloaded eBooks in the relevant Springer eBook Collection in 2013.
- S. Yang and D. Wang. Solving optimization and scheduling problems with neural network methods. Systems Engineering, 15(Suppl.): 66-71, December 1997 (PDF File).
- S. Yang and D. Wang. Genetic algorithm and adaptive neural network hybrid method for job-shop scheduling problems. Control and Decision, 13(Suppl.): 402-407, July 1998 (PDF File).
- S. Yang and D. Wang. Using constraint satisfaction adaptive neural network and efficient heuristics for job-shop scheduling. Information and Control, 28(2): 121-126, April 1999 (PDF File).
- S. Yang and D. Wang. A neural network and heuristics hybrid strategy for job-shop scheduling problem. Journal of Systems Engineering, 14(2): 140-144, June 1999 (PDF File).
- S. Yang and D. Wang. Constraint satisfaction adaptive neural network and heuristics combined approaches for generalized job-shop scheduling. IEEE Transactions on Neural Networks, 11(2): 474-486, March 2000. IEEE Press (DOI: 10.1109/72.839016 and PDF File).
- S. Yang and D. Wang. A new adaptive neural network and heuristics hybrid approach for job-shop scheduling. Computers and Operations Research, 28(10): 955-971, September 2001. Elsevier Science Ltd (DOI: 10.1016/S0305-0548(00)00018-6 and PDF File).
- S. Yang. Adaptive group mutation for tackling deception in genetic search. WSEAS Transactions on Systems, 3(1): 107-112, January 2004 (PDF File).
- S. Yang and X. Yao. Experimental study on population-based incremental learning algorithms for dynamic optimization problems. Soft Computing, 9(11): 815-834, November 2005. Springer (DOI: 10.1007/s00500-004-0422-3 and PDF File).
- H. Wang, D. Wang, and S. Yang. Evolutionary algorithms in dynamic environments. Control and Decision, 22(2): 127-131+137, February 2007. (URL: http://www.kzyjc.net:8080/CN/Y2007/V22/I2/127)
- S. Yang and R. Tinos. A hybrid immigrants scheme for genetic algorithms in dynamic environments. International Journal of Automation and Computing, 4(3): 243-254, July 2007. Springer (DOI: 10.1007/s11633-007-0243-9, PDF File, and Source Code in GNU C++).
- S. Yang and X. Yao. Population-based incremental learning with associative memory for dynamic environments. IEEE Transactions on Evolutionary Computation, 12(5): 542-561, October 2008. IEEE Press (DOI: 10.1109/TEVC.2007.913070, PDF File, and Source Code in GNU C++).
- H. Cheng, X. Wang, S. Yang, and M. Huang. A multipopulation parallel genetic simulated annealing based QoS routing and wavelength assignment integration algorithm for multicast in optical networks. Applied Soft Computing, 9(2): 677-684, March 2009. Elsevier (DOI: 10.1016/j.asoc.2008.09.008 and PDF File).
- H. Cheng, J. Cao, X. Wang, S. K. Das, and S. Yang. Stability-aware multi-metric clustering in mobile ad hoc networks with group mobility. Wireless Communications and Mobile Computing, 9(6): 759-771, June 2009. John Wiley & Sons, Ltd (DOI: 10.1002/wcm.627 and PDF File).
- H. Wang, D. Wang, and S. Yang. A memetic algorithm with adaptive hill climbing strategy for dynamic optimization problems. Soft Computing, 13(8-9): 763-780, July 2009. Springer (DOI: 10.1007/s00500-008-0347-3, PDF File, and Source Code in Java).
- H. Richter and S. Yang. Learning behavior in abstract memory schemes for dynamic optimization problems. Soft Computing, 13(12): 1163-1173, October 2009. Springer (DOI: 10.1007/s00500-009-0420-6 and PDF File).