University of Leicester

computer science

Evolutionary Algorithms for Dynamic Optimisation Problems: Design, Analysis and Applications


Publications


Journal Papers

  1. L. Liu, S. Yang, and D. Wang. Particle swarm optimization with composite particles in dynamic environments. Revised and resubmitted to IEEE Trans on Evolutionary Computation, June 2008.
  2. H. Wang, D. Wang, and S. Yang. A memetic algorithm with adaptive hill climbing strategy for dynamic optimization problems. Accepted by Soft Computing, March 2008. Springer.
  3. 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, published online first: 21 Apr 2008. John Wiley & Sons, Ltd (DOI: 10.1002/wcm.627).
  4. S. Yang and X. Yao. Population-based incremental learning with associative memory for dynamic environments. IEEE Transactions on Evolutionary Computation, 20 pages, published online first: March 2008. IEEE Press (DOI: 10.1109/TEVC.2007.913070).
  5. S. Yang. Genetic algorithms with memory and elitism based immigrants in dynamic environments. Evolutionary Computation, 16(3), Fall 2008. MIT Press.
  6. 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).
  7. 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).

Conference Papers

  1. H. Cheng and S. Yang. A Genetic-inspired joint multicast routing and channel assignment algorithm in wireless mesh networks. To appear in Proceedings of the 2008 UK Workshop on Computational Intelligence, 2008.
  2. C. Li and S. Yang. An adaptive mutation operator for particle swarm optimization. To appear in Proceedings of the 2008 UK Workshop on Computational Intelligence, 2008.
  3. H. Cheng, X. Wang, M. Huang, and S. Yang. A review of personal communications services. To appear in Proceedings of the 9th International Conference for Young Computer Scientists, 2008. IEEE Press.
  4. C. Ji, Y. Zhang, M. Tong, and S. Yang. Particle filter with swarm move for optimization. To appear in Proceedings of the 10th International Conference on Parallel Problem Solving from Nature, 2008. Springer.
  5. C. Li and S. Yang. Fast multi-swarm optimization for dynamic optimization problems. To appear in Proceedings of the 4th International Conference on Natural Computation, 2008. IEEE Press.
  6. H. Richter and S. Yang. Learning in abstract memory schemes for dynamic optimization. To appear in Proceedings of the 4th International Conference on Natural Computation, 2008. IEEE Press.
  7. 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.
  8. 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. 2972-2979, 2008. IEEE Press.
  9. S. Yang and R. Tinos. Hyper-selection in dynamic environments. Proceedings of the 2008 IEEE Congress on Evolutionary Computation, pp. 3184-3191, 2008. IEEE Press.
  10. H. Richter and S. Yang. Memory based on abstraction for dynamic fitness functions. In Applications of Evolutionary Computing, LNCS 4974 , pp. 597-606, 2008. Berlin: Springer-Verlag (DOI: 10.1007/978-3-540-78761-7_65).
  11. L. Liu, D. Wang, and S. Yang. Compound particle swarm optimization in dynamic environments. In Applications of Evolutionary Computing, LNCS 4974, pp. 617-626, 2008. Berlin: Springer-Verlag (DOI: 10.1007/978-3-540-78761-7_67).
  12. 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).
  13. 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).

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Author: Shengxiang Yang (s.yang@mcs.le.ac.uk).
© University of Leicester. First created: Mon 14 May 2007. Last modified: 23rd July 2008.
CS Web Maintainer. This document has been approved by the Head of Department.