## Welcome to Shengxiang Yang's Publications Page

Electronic copy of papers is available on request. You may also see my record in Scopus, DBLP, Web Of Knowledge, and Google Scholar.### Edited Books, Proceedings and Journal Special Issues

**S. Yang**and X. Yao (Eds.), Evolutionary Computation for Dynamic Optimization Problems, in the series*Studies in Computational Intelligence*, Springer-Verlag Berlin Heidelberg. Ongoing, expected in 2012.**S. Yang**, Y.-S. Ong, and Y. Jin (Eds.), Evolutionary Computation in Dynamic and Uncertain Environments, in the series*Studies in Computational Intelligence*, Vol. 51, Springer-Verlag Berlin Heidelberg, ISSN: 1860-949X (Print) 1860-9503 (Online), ISBN: 978-3-540-49772-1, March 2007 (DOI: 10.1007/978-3-540-49774-5).- 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). - 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). - 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.; 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). - 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).
- F. Neri and
**S. Yang**(guest editors), Memetic Computing in the Presence of Uncertainties, Thematic Issue of Memetic Computing, Vol. 2, No. 2, pp. 85-162, June 2010, Springer, ISSN: 1865-9284 (print version), ISSN: 1865-9292 (Online). **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).

### Journal Papers (and Source Codes)

**S. Yang**, Y. Jiang, and T. T. Nguyen. Metaheuristics for dynamic combinatorial optimization problems.*IMA Journal of Management Mathematics*, accepted 16 June 2012. Oxford University Press.- T. T. Nguyen,
**S. Yang**, and J. Branke. Evolutionary dynamic optimization: A survey of the state of the art.*Swarm and Evolutionary Computation*, accepted 11 May 2012. Elsevier. - H. Cheng,
**S. Yang**, and X. Wang. Immigrants enhanced multi-population genetic algorithms for dynamic shortest path routing problems in mobile ad hoc networks.*Applied Artificial Intelligence*, accepted 10 May 2012. Taylor & Francis. - W. Kong, T. Chai,
**S. Yang**, and J. Ding. A hybrid evolutionary multiobjective optimization strategy for the dynamic power supply problem in magnesia grain manufacturing.*Applied Soft Computing*, published onlie first: 13 March 2012. Elsevier (DOI: 10.1016/j.asoc.2012.02.025). - C. Li and
**S. Yang**. A general framework of multi-population methods with clustering in undetectable dynamic environments.*IEEE Transactions on Evolutionary Computation*, published onlie first: 10 February 2012. IEEE Press (DOI: 10.1109/TEVC.2011.2169966 and PDF File). - H. Wang, I.-K. Moon,
**S. Yang**, and D. Wang. A memetic particle swarm optimization algorithm for multimodal optimization problems.*Information Sciences*, 197: 38-52, August 2012. Elsevier (DOI: 10.1016/j.ins.2012.02.016). - 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). - 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). - 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). - 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). - 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 and PDF File). - M. Mavrovouniotis and
**S. Yang**. A memetic ant colony optimization algorithm for the dynamic traveling salesman problem.*Soft Computing*, 15(7): 1405-1425, July 2011. Springer (DOI: 10.1007/s00500-010-0680-1 and PDF File). - 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). - I. Comsa, C. Grosan, and
**S. Yang**. A brief analysis of evolutionary algorithms for the dynamic multiobjective subset sum problem.*Studia Univ. Babes-Bolyai, Informatica*, LVI(2): 88-94, June 2011. Babes-Bolyai University, Romania (PDF File). - H. Cheng and
**S. Yang**. Joint QoS multicast routing and channel assignment in multiradio multichannel wireless mesh networks using intelligent computational methods.*Applied Soft Computing*, 11(2): 1953-1964, March 2011. Elsevier (DOI: 10.1016/j.asoc.2010.06.011, PDF File, and Source Code in C++). - 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). **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).**S. Yang**and C. Li. A clustering particle swarm optimizer for locating and tracking multiple optima in dynamic environments.*IEEE Transactions on Evolutionary Computation*, 14(6): 959-974, December 2010. IEEE Press (DOI: 10.1109/TEVC.2010.2046667, PDF File, and Source Code in GNU C++).- 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). - 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). - H. Cheng and
**S. Yang**. Genetic algorithms with immigrants schemes for dynamic multicast problems in mobile ad hoc networks.*Engineering Applications of Artificial Intelligence*, 23(5): 806-819, August 2010. Elsevier (DOI: 10.1016/j.engappai.2010.01.021, PDF File, C++ Source Code for the General Dynamics Model, and C++ Source Code for the Worst Dynamics Model). - H. Cheng, X. Wang,
**S. Yang**, M. Huang, and J. Cao. QoS multicast tree construction in IP/DWDM optical internet by bio-inspired algorithms.*Journal of Network and Computer Applications*, 33(4): 512-522, July 2010. Elsevier (DOI: 10.1016/j.jnca.2010.01.001 and PDF File). - F. Neri and
**S. Yang**. Guest editorial: Memetic computing in the presence of uncertainties.*Memetic Computing*, 2(2): 85-86, June 2010. Springer (DOI: 10.1007/s12293-010-0033-8 and PDF File). **S. Yang**, D. Wang, T. Chai, and G. Kendall. An improved constraint satisfaction adaptive neural network for job-shop scheduling.*Journal of Scheduling*, 13(1): 17-38, February 2010. Springer (DOI: 10.1007/s10951-009-0106-z and PDF File).**S. Yang**, H. Cheng, and F. Wang. Genetic algorithms with immigrants and memory schemes for dynamic shortest path routing problems in mobile ad hoc networks.*IEEE Transactions on Systems, Man, and Cybernetics Part C: Applications and Reviews*, 40(1): 52-63, January 2010. IEEE Press (DOI: 10.1109/TSMCC.2009.2023676, PDF File, and Source Code in C++).- H. Wang,
**S. Yang**, W. H. Ip, and D. Wang. Adaptive primal-dual genetic algorithms in dynamic environments.*IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics*, 39(6): 1348-1361, December 2009. IEEE Press (DOI: 10.1109/TSMCB.2009.2015281, and PDF File). - 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). - 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. 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. 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). **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++).**S. Yang**. Genetic algorithms with memory- and elitism-based immigrants in dynamic environments.*Evolutionary Computation*, 16(3): 385-416, Fall 2008. The MIT Press (DOI: 10.1162/evco.2008.16.3.385, PDF File, and Source Code in GNU C++).- R. Tinos and
**S. Yang**. A self-organizing random immigrants genetic algorithm for dynamic optimization problems.*Genetic Programming and Evolvable Machines*, 8(3): 255-286, September 2007. Springer (DOI: 10.1007/s10710-007-9024-z and PDF File). **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++).- H. Wang, D. Wang, and
**S. Yang**. Evolutionary algorithms in dynamic environments.*Control and Decision*, 22(2): 127-131+137, February 2007. **S. Yang**, Y.-S. Ong, and Y. Jin. Editorial to special issue on evolutionary computation in dynamic and uncertain environments.*Genetic Programming and Evolvable Machines*, 7(4): 293-294, December 2006. Springer (DOI: 10.1007/s10710-006-9016-4 and 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).**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 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**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 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. 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. 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. Solving optimization and scheduling problems with neural network methods.*Systems Engineering*, 15(Suppl.): 66-71, December 1997 (PDF File).

### Book Chapters

- H. Richter and
**S. Yang**. Dynamic optimization using analytic and evolutionary approaches: A comparative review. In I. Zelinka et al. (Eds.):*Handbook of Optimization*, ISRL 38, Chapter 1, pp. 1 - 28, Springer-Verlag Berlin Heidelberg, 2012. - Y. Yan,
**S. Yang**, D. Wang, and D. Wang. Agent based evolutionary dynamic optimization. In R. Sarker and T. Ray (eds.),*Agent Based Evolutionary Search*, Chapter 5, pp. 97-116, Springer-Verlag Berlin Heidelberg, 2010, (DOI: 10.1007/978-3-642-13425-8_5 and PDF File). - H. Cheng, X. Wang, M. Huang, and
**S. Yang**. A review of personal communications services. In K. Y. Chen and H. K. Lee (Eds.),*Mobile Computing Research and Applications*, Chapter 8, pp. 149-165, Nova Science Publishers, 3nd Quarter, 2009 (ISBN: 978-1-60741-101-7) (PDF File). **S. Yang**. Explicit memory schemes for evolutionary algorithms in dynamic environments. In**S. Yang**, Y.-S. Ong, and Y. Jin (Eds.),*Evolutionary Computation in Dynamic and Uncertain Environments*, Chapter 1, pp. 3 - 28, Springer-Verlag Berlin Heidelberg, March 2007 (DOI: 10.1007/978-3-540-49774-5_1 and PDF File).- R. Tinos and
**S. Yang**. Genetic algorithms with self-organizing behaviour in dynamic environments. In**S. Yang**, Y.-S. Ong, and Y. Jin (Eds.),*Evolutionary Computation in Dynamic and Uncertain Environments*, Chapter 5, pp. 105 - 127, Springer-Verlag Berlin Heidelberg, March 2007 (DOI: 10.1007/978-3-540-49774-5_5 and PDF File). **S. Yang**. Adaptive mutation using statistics mechanism for genetic algorithms. In F. Coenen, A. Preece and A. Macintosh (Eds.),*Research and Development in Intelligent Systems XX*, pp. 19-32, 2003. London: Springer-Verlag (PDF File).**S. Yang**. PDGA: the primal-dual genetic algorithm. In A. Abraham, M. Koppen and K. Franke (Eds.),*Design and Application of Hybrid Intelligent Systems*, pp. 214-223, 2003. IOS Press (PDF File).**S. Yang**. Genetic algorithms based on primal-dual chromosomes for royal road functions. In A. Grmela and N. E. Mastorakis (Eds.),*Advances in Intelligent Systems, Fuzzy Systems, Evolutionary Computation*, pp. 174-179, 2002. WSEAS Press (PDF File).

### Conference Papers

- Z. Wu,
**S. Yang**, and D. Gilbert. A hybrid approach to piece-wise modelling biochemical systems.*Proceedings of the 12th International Conference on Parallel Problems Solving from Nature (PPSN XII)*, LNCS, 2012. Springer, Heidelberg. - M. Mavrovouniotis,
**S. Yang**, and X. Yao. A benchmark generator for dynamic permutation-encoded problems.*Proceedings of the 12th International Conference on Parallel Problems Solving from Nature (PPSN XII)*, LNCS, 2012. Springer, Heidelberg. - H. Cheng and
**S. Yang**. Hyper-mutation based genetic algorithms for dynamic multicast routing problem in mobile Ad Hoc networks.*Proceedings of the 11th IEEE International Conference on Ubiquitous Computing and Communications*, 2012. IEEE Press. - C. Li,
**S. Yang**, and M. Yang. Maintaining diversity by clustering in dynamic environments.*Proceedings of the 2012 IEEE Congress on Evolutionary Computation*, pp. 2605-2612, 2012. IEEE Press. - M. Mavrovouniotis and
**S. Yang**. Ant colony optimization with memory-based immigrants for the dynamic vehicle routing problem.*Proceedings of the 2012 IEEE Congress on Evolutionary Computation*, pp. 2645-2652, 2012. IEEE Press. - M. Mavrovouniotis and
**S. Yang**. Ant colony optimization with immigrants schemes for the dynamic vehicle routing problem.*EvoApplications 2012: Applications of Evolutionary Computing, LNCS 7248*, pp. 519-528, 2012. Springer (DOI: 10.1007/978-3-642-29178-4_52). - A. Vescan, C. Grosan and
**S. Yang**. A hybrid evolutionary multiobjective approach for the dynamic component selection problem.*Proceedings of the 11th International Conference on Hybrid Intelligent Systems*, pp. 714-721, 2011. IEEE Press (DOI: 10.1109/HIS.2011.6122196). - M. Mavrovouniotis and
**S. Yang**. An immigrants scheme based on environmental information for ant colony optimization for the dynamic travelling salesman problem.*Proceedings of the 10th International Conference on Artificial Evolution*, LNCS, pp. 23-34, 2011. Springer. - M. Mavrovouniotis and
**S. Yang**. An ant system with direct communication for the capacitated vehicle routing problem.*Proceedings of the 2011 UK Workshop on Computational Intelligence*, pp. 14-19, 2011. - M. Mavrovouniotis and
**S. Yang**. Memory-based immigrants for ant colony optimization in changing environments.*EvoApplications 2011: Applications of Evolutionary Computing, Part I, LNCS 6624*, pp. 324-333, 2011. Springer (DOI: 10.1007/978-3-642-20525-5_33). - S. N. Jat and
**S. Yang**. A guided search non-dominated sorting genetic algorithm for the multi-objective university course timetabling problem.*Proceedings of the 11th European Conference on Evolutionary Computation in Combinatorial Optimisation, LNCS 6622*, pp. 1-13, 2011. Springer (DOI: 10.1007/978-3-642-20364-0_1). - H. Cheng and
**S. Yang**. Genetic algorithms with elitism-based immigrants for dynamic load balanced clustering problem in mobile ad hoc networks.*Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments*, pp. 1-7, 2011. IEEE Press (DOI: 10.1109/CIDUE.2011.5948486 and PDF File). - R. Tinos and
**S. Yang**. Evolution strategies with q-Gaussian mutation for dynamic optimization problems.*Proceedings of the 11th Brazilian Symposium on Artificial Neural Network*, pp. 223-228, 2010. IEEE Press (DOI: 10.1109/SBRN.2010.46 and PDF File). - M. Mavrovouniotis and
**S. Yang**. Ant colony optimization with direct communication for the traveling salesman problem.*Proceedings of the 2010 UK Workshop on Computational Intelligence*, 2010. IEEE Press. (DOI: 10.1109/UKCI.2010.5625608 and PDF File). - R. Tinos and
**S. Yang**. An analysis of the XOR dynamic problem generator based on the dynamical system.*Proceedings of the 11th International Conference on Parallel Problems Solving from Nature (PPSN XI)*, Part I, LNCS 6238, pp. 274-283. 2010. Springer, Heidelberg (DOI: 10.1007/978-3-642-15844-5_28 and PDF File). - M. Mavrovouniotis and
**S. Yang**. Ant colony optimization with immigrants schemes in dynamic environments.*Proceedings of the 11th International Conference on Parallel Problems Solving from Nature (PPSN XI)*, Part II, LNCS 6239, pp. 371-380. 2010. Springer, Heidelberg (DOI: 10.1007/978-3-642-15871-1_38 and PDF File). - C. Li and
**S. Yang**. Adaptive learning particle swarm optimizer--II for global optimization.*Proceedings of the 2010 IEEE Congress on Evolutionary Computation*, pp. 779-786, 2010. IEEE Press (DOI: 10.1109/CEC.2010.5586230 and PDF File). - S. Arshad and
**S. Yang**. A hybrid genetic algorithm and inver over approach for the travelling salesman problem.*Proceedings of the 2010 IEEE Congress on Evolutionary Computation*, pp. 252-259, 2010. IEEE Press (DOI: 10.1109/CEC.2010.5586216 and PDF File). - I. Korejo,
**S. Yang**, and C. Li. A directed mutation operator for real coded genetic algorithms.*EvoApplications 2010: Applications of Evolutionary Computing, Part I, LNCS 6024*, pp. 491-500, 2010. Springer (DOI: 10.1007/978-3-642-12239-2_51 and PDF File). - H. Cheng and
**S. Yang**. Multi-population genetic algorithms with immigrants scheme for dynamic shortest path routing problems in mobile ad hoc networks.*EvoApplications 2010: Applications of Evolutionary Computing, Part I, LNCS 6024*, pp. 562-571, 2010. Springer (DOI: 10.1007/978-3-642-12239-2_58 and PDF File). - I. Korejo,
**S. Yang**, and C. Li. A comparative study of adaptive mutation operators for metaheuristics.*Proceedings of the 8th Metaheuristic International Conference*, 2009. - S. N. Jat and
**S. Yang**. A guided search genetic algorithm for the university course timetabling problem.*Proceedings of the 4th Multidisciplinary International Scheduling Conference: Theory and Applications (MISTA 2009)*, pp. 180-191, 2009 (PDF File). - S. Arshad,
**S. Yang**, and C. Li. A sequence based genetic algorithm with local search for the travelling salesman problem.*Proceedings of the 2009 UK Workshop on Computational Intelligence*, pp. 98-105, 2009. - H. Cheng and
**S. Yang**. Joint multicast routing and channel assignment in multiradio multichannel wireless mesh networks using tabu search.*Proceedings of the 5th International Conference on Natural Computation*, vol. 4, pp. 325-330, 2009. IEEE Press (DOI: 10.1109/ICNC.2009.435). - C. Li and
**S. Yang**. An adaptive learning particle swarm optimizer for function optimization.*Proceedings of the 2009 IEEE Congress on Evolutionary Computation*, pp. 381-388, 2009. IEEE Press (DOI: 10.1109/CEC.2009.4982972 and PDF File). - C. Li and
**S. Yang**. A clustering particle swarm optimizer for dynamic optimization.*Proceedings of the 2009 IEEE Congress on Evolutionary Computation*, pp. 439-446, 2009. IEEE Press (DOI: 10.1109/CEC.2009.4982979 and PDF File). **S. Yang**and H. Richter. Hyper-learning for population-based incremental learning in dynamic environments.*Proceedings of the 2009 IEEE Congress on Evolutionary Computation*, pp. 682-689, 2009. IEEE Press (DOI: 10.1109/CEC.2009.4983011 and PDF File).- H. Cheng and
**S. Yang**. Genetic algorithms with elitism-based immigrants for dynamic shortest path problem in mobile ad hoc networks.*Proceedings of the 2009 IEEE Congress on Evolutionary Computation*, pp. 3135-3140, 2009. IEEE Press (DOI: 10.1109/CEC.2009.4983340 and PDF File). - L. Liu, D. Wang, and
**S. Yang**. An immune system based genetic algorithm using permutation-based dualism for dynamic traveling salesman problems.*EvoWorkshops 2009: Applications of Evolutionary Computing, LNCS 5484*, pp. 725-734, 2009. Springer (DOI: 10.1007/978-3-642-01129-0_82 and PDF File). - C. Li and
**S. Yang**. An island based hybrid evolutionary algorithm for optimization.*Proceedings of the 7th International Conference on Simulated Evolution and Learning, LNCS 5361*, pp. 180-189, 2008. Springer (DOI: 10.1007/978-3-540-89694-4_19 and PDF File). - H. Cheng and
**S. Yang**. Joint multicast routing and channel assignment in multiradio multichannel wireless mesh networks using simulated annealing.*Proceedings of the 7th International Conference on Simulated Evolution and Learning, LNCS 5361*, pp. 370-380, 2008. Springer (DOI: 10.1007/978-3-540-89694-4_38 and PDF File). - C. Li and
**S. Yang**. A generalized approach to construct benchmark problems for dynamic optimization.*Proceedings of the 7th International Conference on Simulated Evolution and Learning, LNCS 5361*, pp. 391-400, 2008. Springer (DOI: 10.1007/978-3-540-89694-4_40 and PDF File). - S. N. Jat and
**S. Yang**. A memetic algorithm for the university course timetabling problem.*Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence*, vol. 1, pp. 427-433, 2008. IEEE Press (DOI: 10.1109/ICTAI.2008.126 and PDF File). - H. Cheng, X. Wang, M. Huang, and
**S. Yang**. A review of personal communications services.*Proceedings of the 9th International Conference for Young Computer Scientists*, pp. 616-621, 2008. IEEE Press (DOI: 10.1109/ICYCS.2008.191). - H. Richter and
**S. Yang**. Learning in abstract memory schemes for dynamic optimization.*Proceedings of the 4th International Conference on Natural Computation*, vol. 1, pp. 86-91, 2008. IEEE Press (DOI: 10.1109/ICNC.2008.110). - C. Li and
**S. Yang**. Fast multi-swarm optimization for dynamic optimization problems.*Proceedings of the 4th International Conference on Natural Computation*, vol. 7, pp. 624-628, 2008. IEEE Press (DOI: 10.1109/ICNC.2008.313 and PDF File). - C. Ji, Y. Zhang, M. Tong, and
**S. Yang**. Particle filter with swarm move for optimization.*Proceedings of the 10th International Conference on Parallel Problem Solving from Nature, LNCS 5199*, pp. 909-918, 2008. Springer (DOI: 10.1007/978-3-540-87700-4_90 and PDF File). - H. Cheng and
**S. Yang**. A genetic-inspired joint multicast routing and channel assignment algorithm in wireless mesh networks.*Proceedings of the 2008 UK Workshop on Computational Intelligence*, pp. 159-164, 2008 (PDF File). - C. Li,
**S. Yang**, and I. Korejo. An adaptive mutation operator for particle swarm optimization.*Proceedings of the 2008 UK Workshop on Computational Intelligence*, pp. 165-170, 2008 (PDF File). - R. Tinos and
**S. Yang**. Evolutionary programming with q-Gaussian mutation for dynamic pptimization problems.*Proceedings of the 2008 IEEE Congress on Evolutionary Computation*, pp. 1823-1830, 2008. IEEE Press (DOI: 10.1109/CEC.2008.4631036 and PDF File). - Y. Yan, H. Wang, D. Wang,
**S. Yang**, and D. Z. Wang. A multi-agent based evolutionary algorithm in non-stationary environments.*Proceedings of the 2008 IEEE Congress on Evolutionary Computation*, pp. 2967-2974, 2008. IEEE Press (DOI: 10.1109/CEC.2008.4631198 and PDF File). **S. Yang**and R. Tinos. Hyper-selection in dynamic environments.*Proceedings of the 2008 IEEE Congress on Evolutionary Computation*, pp. 3185-3192, 2008. IEEE Press (DOI: 10.1109/CEC.2008.4631229 and PDF File).- H. Richter and
**S. Yang**. Memory based on abstraction for dynamic fitness functions. In*EvoWorkshops 2008: Applications of Evolutionary Computing, LNCS 4974*, pp. 597-606, 2008. Berlin: Springer-Verlag (DOI: 10.1007/978-3-540-78761-7_65 and PDF File). - L. Liu, D. Wang, and
**S. Yang**. Compound particle swarm optimization in dynamic environments. In*EvoWorkshops 2008: Applications of Evolutionary Computing, LNCS 4974*, pp. 617-626, 2008. Berlin: Springer-Verlag (DOI: 10.1007/978-3-540-78761-7_67 and PDF File). - R. Tinos and
**S. Yang**. Self-adaptation of mutation distribution in evolutionary algorithms.*Proceedings of the 2007 IEEE Congress on Evolutionary Computation*, pp. 79-86, 2007. IEEE Press (DOI: 10.1109/CEC.2007.4424457 and PDF File). - R. Tinos and
**S. Yang**. Continuous dynamic problem generators for evolutionary algorithms.*Proceedings of the 2007 IEEE Congress on Evolutionary Computation*, pp. 236-243, 2007. IEEE Press (DOI: 10.1109/CEC.2007.4424477 and PDF File). **S. Yang**. Learning the dominance in diploid genetic algorithms for changing optimization problems.*Proceedings of the 2nd International Symposium on Intelligence Computation and Applications*, pp. 157-162, 2007. China University of GeoSciences Press.**S. Yang**. Genetic algorithms with elitism-based immigrants for chaning optimization problems.*EvoWorkshops 2007: Applications of Evolutionary Computing, LNCS 4448*, pp. 627-636, 2007. Berlin: Springer-Verlag (DOI: 10.1007/978-3-540-71805-5_69 and PDF File).- H. Wang, D. Wang, and
**S. Yang**. Triggered memory-based swarm optimization in dynamic environments.*EvoWorkshops 2007: Applications of Evolutionary Computing, LNCS 4448*, pp. 637-646, 2007. Berlin: Springer-Verlag (DOI: 10.1007/978-3-540-71805-5_70 and PDF File). **S. Yang**. On the design of diploid genetic algorithms for problem optimization in dynamic environments.*Proceedings of the 2006 IEEE Congress on Evolutionary Computation*, pp. 1362-1369, 2006. IEEE Press (DOI: 10.1109/CEC.2006.1688467 and PDF File).**S. Yang**. Job-shop scheduling with an adaptive neural network and local search hybrid approach.*Proceedings of the 2006 IEEE Int. Joint Conf. on Neural Networks*, pp. 2720-2727, 2006. IEEE Press (PDF File).**S. Yang**. A comparative study of immune system based genetic algorithms in dynamic environments.*GECCO'06: Proceedings of the 8th Annual Conference on Genetic and Evolutionary Computation*, pp. 1377-1384, 2006. ACM Press (DOI: 10.1145/1143997.1144209 and PDF File).**S. Yang**. Dominance learning in diploid genetic algorithms for dynamic optimization problems.*GECCO'06: Proceedings of the 8th Annual Conference on Genetic and Evolutionary Computation*, pp. 1435-1436, 2006. ACM Press (DOI: 10.1145/1143997.1144232 and PDF File).**S. Yang**. Associative memory scheme for genetic algorithms in dynamic environments.*EvoWorkshops 2006: Applications of Evolutionary Computing, LNCS 3907*, pp. 788-799, 2006. Berlin: Springer-Verlag (DOI: 10.1007/11732242_76 and PDF File).**S. Yang**and S. Uyar. Adaptive mutation with fitness and allele distribution correlation for genetic algorithms.*Proceedings of the 21st ACM Symposium on Applied Computing (SAC'06)*, pp. 940-944, 2006. ACM Press (DOI: 10.1145/1141277.1141499 and PDF File).**S. Yang**. An improved adaptive neural network for job-shop scheduling.*Proceedings of the 2005 IEEE International Conference on Systems, Man and Cybernatics*, Vol. 2, pp. 1200-1205, 2005. IEEE Press (DOI: 10.1109/ICSMC.2005.1571309 and PDF File).**S. Yang**. Memory-enhanced univariate marginal distribution algorithms for dynamic optimization problems.*Proceedings of the 2005 IEEE Congress on Evolutionary Computation*, Vol. 3, pp. 2560-2567, 2005. IEEE Press (DOI: 10.1109/CEC.2005.1555015 and PDF File).- R. Tinos and
**S. Yang**. Genetic algorithms with self-organized criticality for dynamic optimization problems.*Proceedings of the 2005 IEEE Congress on Evolutionary Computation*, Vol. 3, pp. 2816-2823, 2005. IEEE Press (DOI: 10.1109/CEC.2005.1555048 and PDF File). **S. Yang**. Population-based incremental learning with memory scheme for changing environments.*Proceedings of the 2005 Genetic and Evolutionary Computation Conference*, Vol. 1, pp. 711-718, 2005. ACM Press (DOI: 10.1145/1068009.1068128 and PDF File).**S. Yang**. Memory-based immigrants for genetic algorithms in dynamic environments.*Proceedings of the 2005 Genetic and Evolutionary Computation Conference*, Vol. 2, pp. 1115-1122, 2005. ACM Press (DOI: 10.1145/1068009.1068196 and PDF File).**This paper was nominated to the best paper award for GECCO-2005**.**S. Yang**and J. Branke. Evolutionary algorithms for dynamic optimization problems: workshop preface.*Proceedings of the 2005 Workshops on Genetic and Evolutionary Computation*, pp. 23-24, 2005. ACM Press (DOI: 10.1145/1102256.1102261 and PDF File).**S. Yang**. Constructing dynamic test environments for genetic algorithms based on problem difficulty.*Proceedings of the 2004 IEEE Congress on Evolutionary Computation*, Vol. 2, pp. 1262-1269, 2004. IEEE Press (DOI: 10.1109/CEC.2004.1331042 and PDF File).**S. Yang**. Non-stationary problem optimization using the primal-dual genetic algorithm. In R. Sarker, R. Reynolds, H. Abbass, K.-C. Tan, R. McKay, D. Essam and T. Gedeon (editors),*Proceedings of the 2003 IEEE Congress on Evolutionary Computation*, Vol. 3, pp. 2246-2253, 2003. IEEE Press (DOI: 10.1109/CEC.2003.1299951 and PDF File).**S. Yang**and X. Yao. Dual population-based incremental learning for problem optimization in dynamic environments. In M. Gen et. al. (editors),*Proceedings of the 7th Asia Pacific Symposium on Intelligent and Evolutionary Systems*, pp. 49-56, 2003 (PDF File).**S. Yang**. Statistics-based adaptive non-uniform mutation for genetic algorithms. In E. Cantu-Paz, J.A. Foster, K. Deb, L. D. Davis, R. Roy, U.-M. O'Reilly, H.-G. Beyer, R. Standish, G. Kendall, S. Wilson, M. Harman, J. Wegener, D. Dasgupta. M. A. Potter, A. C. Schultz, K. A. Dowsland, N. Jonoska, and J. Miller (editors),*Proceedings of the Genetic and Evolutionary Computation Conference - GECCO 2003*, LNCS 2724, pp. 1618-1619, 2003. Springer (DOI: 10.1007/3-540-45110-2_53).**S. Yang**. Adaptive non-uniform crossover based on statistics for genetic algorithms. In W. B. Langdon, E. Cantu-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A. C. Schultz, J. F. Miller, E. Burke, and N. Jonoska (editors),*Proceedings of the 2002 Genetic and Evolutionary Computation Conference*, pp. 650-657, 2002. San Francisco, CA: Morgan Kaufmann Publishers (PDF File).**S. Yang**. Primal-dual genetic algorithms for royal road functions. In E. F. Camacho, L. Basanez, J. A. de la Puente (editors),*Proceedings of the 15th IFAC World Congress, Vol. I: Fuzzy, Neural and Genetic Systems*, pp. 373-378, Barcelona, Spain, 21-26 July 2002. Elsevier Science Ltd.**S. Yang**. Statistics-based adaptive non-uniform crossover for genetic algorithms, In J. A. Bullinaria (editor),*Proceedings of the 2002 U.K. Workshop on Computational Intelligence (UKCI'02)*, pp. 201-208, 2002.**S. Yang**. Adaptive non-uniform mutation based on statistics for genetic algorithms. In Erick Cantu-Paz (editor),*Late-Breaking Papers at the 2002 Genetic and Evolutionary Computation Conference*, pp. 490-495, 2002. Menlo Park, CA: AAAI Press.**S. Yang**. Adaptive crossover in genetic algorithms using statistics mechanism. In R. Standish, M. Bedau and H. Abbass (editors),*Proceedings of the 8th Int. Conf. on Artificial Life (ALife VIII)*, pp. 182-185, 2002. MIT Press.- T. Radzik and
**S. Yang**. Experimantal evaluation of algorithmic solutions for generalized network flow models. Presented in the*17th International Symposium on Mathematical Programming (ISMP'00)*, August 2000. **S. Yang**and D. Wang. Constraint satisfaction adaptive neural network and efficient heuristics for job-shop scheduling. In H. F. Chen, X. R. Cao, G. Picci and K. J. Hunt (editors),*Proceedings of the 14th IFAC World Congress, Vol. J: Discrete Event Systems, Stochastic Systems, Fuzzy and Neural Systems I*, pp. 175-180, 1999. Elsevier Science Ltd.- K. Zhao,
**S. Yang**and D. Wang. Genetic algorithm and neural network hybrid approach for job-shop scheduling. In M. H. Hamza (editor),*Proceedings of the IASTED Int. Conf. on Applied Modelling and Simulation (AMS'98)*, pp. 110-114, 1998. Calgary, Alberta, Canada: ACTA Press.

### Other Workshop Publications

**S. Yang**and J. Branke (editors),*Proceedings of the 4th Workshop on Evolutionary Algorithms for Dynamic Optimization Problem*, 2005.

### PhD Thesis

**S. Yang**.*Constraint Satisfaction Adaptive Neural Network and its Applications for Job-Shop Scheduling Problems*. PhD Thesis, Northeastern University, P. R. China, March 1999.

### Technical Reports

- C. Li,
**S. Yang**, and D. A. Pelta. Benchmark Generator for the IEEE WCCI-2012 Competition on Evolutionary Computation for Dynamic Optimization Problems.*Technical Report 2011*, Department of Information Systems and Computing, Brunel University, U.K., October 2011 (PDF File). - C. Li,
**S. Yang**, T. T. Nguyen, E. L. Yu, X. Yao, Y. Jin, H.-G. Beyer, and P. N. Suganthan. Benchmark generator for CEC 2009 competition on dynamic optimization.*Technical Report 2008*, Department of Computer Science, University of Leicester, U.K., October 2008 (PDF File). **S. Yang**. A new genetic algorithm based on primal-dual chromosomes for royal road functions.*Technical Report No. 2001/45*, Department of Computer Science, University of Leicester, U.K., 2001.- T. Radzik and
**S. Yang**. Experimental evaluation of algorithmic solutions for the maximum generalised network flow problem.*Technical Report No. 2001/54*, Department of Computer Science, University of Leicester, U.K., 2001. It is also available as*Technical Report No. TR-01-09*, Department of Computer Science, King's College London, U.K., 2001.

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