

Evolutionary Algorithms for Dynamic Optimisation Problems:
Design, Analysis and Applications
Publications
Journal Papers
 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, accepted
in June 2010. Elsevier (Source Code).
 S. Yang and C. Li. A clustering particle swarm optimizer for
locating and tracking multiple optima in dynamic environments. IEEE
Transactions on Evolutionary Computation, accepted in November 2009.
IEEE Press (DOI:
10.1109/TEVC.2010.2046667 and Source Code).
 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,
published online first: 3 June 2010. IEEE Press
(DOI:
10.1109/TSMCC.2010.2049200).
 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, published online first: 5 April 2010.
IEEE Press (DOI:
10.1109/TSMCB.2010.2043527).
 X. Peng, X. Gao, and S. Yang.
Environment identification based memory scheme for estimation of
distribution algorithms in dynamic environments.
Soft Computing, published online first: 11 February 2010. Springer
(DOI:
10.1007/s0050001005475).
 H. Wang, S. Yang, W. H. Ip, and D. Wang. A memetic algorithm
based on particle swarm optimization for dynamic optimization problems.
Natural Computing, published online first: 6 January 2010. Springer
(DOI:
10.1007/s1104700991762).
 F. Neri and S. Yang. Guest editorial: Memetic computing in the presence
of uncertainties. Memetic Computing, 2(2): 8586, June 2010.
Springer (DOI:
10.1007/s1229301000338).
 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): 806819, August 2010. Elsevier
(DOI:
10.1016/j.engappai.2010.01.021 and Source Code Part 1
and Source Code Part 2).
 H. Cheng, X. Wang, S. Yang, M. Huang, and J. Cao.
QoS multicast tree construction in IP/DWDM optical internet by
bioinspired algorithms. Journal of Network and Computer Applications,
33(4): 512522, July 2010. Elsevier
(DOI:
10.1016/j.jnca.2010.01.001).
 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): 5263, January 2010. IEEE Press
(DOI:
10.1109/TSMCC.2009.2023676 and Source Code).
 H. Wang, S. Yang, W. H. Ip, and D. Wang. Adaptive primaldual
genetic algorithms in dynamic environments. IEEE Transactions on Systems,
Man, and Cybernetics Part B: Cybernetics, 39(6): 13481361, December 2009. IEEE Press
(DOI:
10.1109/TSMCB.2009.2015281).
 H. Richter and S. Yang. Learning behavior in abstract
memory schemes for dynamic optimization problems.
Soft Computing, 13(12): 11631173, October 2009. Springer
(DOI:
10.1007/s0050000904206).
 S. Yang, D. Wang, T. Chai, and G. Kendall. An improved constraint
satisfaction adaptive neural network for jobshop scheduling.
Journal of Scheduling, 13(1): 1738, February 2010. Springer
(DOI:
10.1007/s109510090106z).
 H. Wang, D. Wang, and S. Yang. A memetic algorithm with adaptive
hill climbing strategy for dynamic optimization problems.
Soft Computing, 13(89): 763780, July 2009. Springer
(DOI:
10.1007/s0050000803473).
 H. Cheng, J. Cao, X. Wang, S. K. Das, and S. Yang.
Stabilityaware multimetric clustering in mobile ad hoc networks
with group mobility. Wireless Communications and Mobile Computing,
9(6): 759771, June 2009. John Wiley & Sons, Ltd
(DOI: 10.1002/wcm.627).
 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): 677684, March 2009. Elsevier
(DOI:
10.1016/j.asoc.2008.09.008).).
 S. Yang and X. Yao. Populationbased incremental learning with
associative memory for dynamic environments. IEEE Transactions on
Evolutionary Computation, 12(5): 542562, October 2008.
IEEE Press (DOI:
10.1109/TEVC.2007.913070).
 S. Yang. Genetic algorithms with memory and elitism based immigrants
in dynamic environments. Evolutionary Computation, 16(3): 385416,
Fall 2008. The MIT Press
(DOI:
10.1162/evco.2008.16.3.385).
 R. Tinos and S. Yang. A selforganizing random immigrants genetic
algorithm for dynamic optimization problems. Genetic Programming and
Evolvable Machines, 8(3): 255286, September 2007. Springer
(DOI:
10.1007/s107100079024z).
 S. Yang and R. Tinos. A hybrid immigrants scheme for genetic algorithms
in dynamic environments. International Journal of Automation and
Computing, 4(3): 243254, July 2007. Springer
(DOI:
10.1007/s1163300702439).
Conference Papers
 R. Tinos and S. Yang. Dynamic evolutionary optimization: an analysis
based on the dynamical system approach.
Proceedings of the 11th International Conference on Parallel Problems Solving
from Nature, 2010.
 M. Mavrovouniotis and S. Yang. Ant colony optimization with immigrants
schemes for changing environments.
Proceedings of the 11th International Conference on Parallel Problems Solving
from Nature, 2010. Springer.
 R. Tinos and S. Yang. Evolution strategies with qGaussian mutation
for dynamic optimization problems. Proceedings of the 11th Brazilian Syposium
on Artificial Neural Network, 2010.
 C. Li and S. Yang. Adaptive learning particle swarm optimizerII
for function optimization. Proceedings of the 2010 IEEE Congress on
Evolutionary Computation, 2010.
 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,
2010.
 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. 491500, 2010. Springer.
 H. Cheng and S. Yang.
Multipopulation 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. 562571, 2010. Springer.
 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. 180191, 2009.
 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. 98105, 2009.
 I. Korejo, S. Yang, and C. Li.
A comparative study of adaptive mutation operators for metaheuristics.
Proceedings of the 8th Metaheuristic International Conference,
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,
2009. IEEE Press.
 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), 2009.
 C. Li and S. Yang. An adaptive learning particle swarm optimizer
for function optimization. Proceedings of the 2009 IEEE Congress on
Evolutionary Computation, pp. 381388, 2009. IEEE Press.
 C. Li and S. Yang. A clustering particle swarm optimizer for
dynamic optimization. Proceedings of the 2009 IEEE Congress on
Evolutionary Computation, pp. 439446, 2009. IEEE Press.
 S. Yang and H. Richter. Hyperlearning for populationbased
incremental learning in dynamic environments. Proceedings of the 2009
IEEE Congress on Evolutionary Computation, pp. 682689, 2009. IEEE Press
 H. Cheng and S. Yang. Genetic algorithms with elitismbased
immigrants for dynamic shortest path problem in mobile ad hoc networks.
Proceedings of the 2009 IEEE Congress on Evolutionary Computation,
pp. 31353140, 2009. IEEE Press.
 L. Liu, D. Wang, and S. Yang. An immune system based genetic
algorithm using permutationbased dualism for dynamic traveling salesman
problems. EvoWorkshops 2009: Applications of Evolutionary Computing,
LNCS 5484, pp. 725734, 2009. Springer
(DOI:
10.1007/9783642011290_82).
 H. Cheng and S. Yang. Joint multicast routing and channel assignment in multiradio
multichannel wireless mesh networks using simulated annealing. Proceedings of the 7th
Int. Conf. on Simulated Evolution and Learning, LNCS 5361, pp. 370380,
2008. Springer (DOI:
10.1007/9783540896944_38).
 C. Li and S. Yang. A generalized approach to construct benchmark problems
for dynamic optimization. Proceedings of the 7th Int. Conf. on
Simulated Evolution and Learning, LNCS 5361, pp. 391400, 2008. Springer
(DOI:
10.1007/9783540896944_40).
 C. Li and S. Yang. An island based hybrid evolutionary algorithm for optimization.
Proceedings of the 7th Int. Conf. on Simulated Evolution and Learning, LNCS 5361,
pp. 180189, 2008. Springer (DOI:
10.1007/9783540896944_19).
 S. N. Jat and S. Yang. A memetic algorithm for the university course timetabling problem.
Proceedings of the 20th IEEE Int. Conf. on Tools with Artificial Intelligence,
vol. 1, pp. 427433, 2008. IEEE Press (DOI: 10.1109/ICTAI.2008.126).
 C. Li and S. Yang. Fast multiswarm optimization for dynamic
optimization problems. Proceedings of the 4th
International Conference on Natural Computation, vol. 7, pp. 624628, 2008. IEEE Press
(DOI:
10.1109/ICNC.2008.313).
 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. 8691, 2008. IEEE Press
(DOI:
10.1109/ICNC.2008.110).
 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. 909918, 2008.
Springer (DOI:
10.1007/9783540877004_90).
 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. 616621, 2008. IEEE Press
(DOI: 10.1109/ICYCS.2008.191).
 H. Cheng and S. Yang. A Geneticinspired joint multicast routing and channel assignment
algorithm in wireless mesh networks.
Proceedings of the 2008 UK Workshop on Computational Intelligence, pp. 159164, 2008.
 C. Li and S. Yang. An adaptive mutation operator for particle swarm optimization. Proceedings
of the 2008 UK Workshop on Computational Intelligence, pp. 165170, 2008.
 R. Tinos and S. Yang. Evolutionary programming with qGaussian mutation for
dynamic pptimization problems. Proceedings of the 2008 IEEE Congress on
Evolutionary Computation, pp. 18231830, 2008. IEEE Press
(DOI:
10.1109/CEC.2008.4631036)
 Y. Yan, H. Wang, D. Wang, S. Yang, and D. Z. Wang. A multiagent based
evolutionary algorithm in nonstationary environments. Proceedings of the 2008
IEEE Congress on Evolutionary Computation, pp. 29722979, 2008. IEEE Press
(DOI:
10.1109/CEC.2008.4631198)
 S. Yang and R. Tinos. Hyperselection in dynamic environments.
Proceedings of the 2008 IEEE Congress on Evolutionary Computation,
pp. 31843191, 2008. IEEE Press (DOI:
10.1109/CEC.2008.4631229).
 H. Richter and S. Yang. Memory based on abstraction for dynamic fitness
functions. In Applications of Evolutionary Computing, LNCS 4974 ,
pp. 597606, 2008. Berlin: SpringerVerlag
(DOI:
10.1007/9783540787617_65).
 L. Liu, D. Wang, and S. Yang. Compound particle swarm optimization in
dynamic environments. In Applications of Evolutionary Computing, LNCS 4974,
pp. 617626, 2008. Berlin: SpringerVerlag
(DOI:
10.1007/9783540787617_67).
 R. Tinos and S. Yang. Selfadaptation of mutation distribution in
evolutionary algorithms. Proceedings of the 2007 IEEE Congress on
Evolutionary Computation, pp. 7986, 2007. IEEE Press
(DOI:
10.1109/CEC.2007.4424457).
 R. Tinos and S. Yang. Continuous dynamic problem generators for
evolutionary algorithms. Proceedings of the 2007 IEEE Congress on
Evolutionary Computation, pp. 236243, 2007. IEEE Press
(DOI:
10.1109/CEC.2007.4424477).
