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Shengxiang Yang: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Shengxiang Yang
    Associative Memory Scheme for Genetic Algorithms in Dynamic Environments. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2006, pp:788-799 [Conf]
  2. Shengxiang Yang
    Adaptive Non-uniform Crossover Based On Statistics For Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:650-657 [Conf]
  3. Shengxiang Yang
    Adaptive Non-Uniform Mutation Based on Statistics for Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO Late Breaking Papers, 2002, pp:490-495 [Conf]
  4. Shengxiang Yang
    Statistics-Based Adaptive Non-uniform Mutation for Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:1618-1619 [Conf]
  5. Shengxiang Yang
    Population-based incremental learning with memory scheme for changing environments. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:711-718 [Conf]
  6. Shengxiang Yang
    Memory-based immigrants for genetic algorithms in dynamic environments. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:1115-1122 [Conf]
  7. Shengxiang Yang
    Dominance learning in diploid genetic algorithms for dynamic optimization problems. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1435-1436 [Conf]
  8. Shengxiang Yang
    A comparative study of immune system based genetic algorithms in dynamic environments. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1377-1384 [Conf]
  9. Shengxiang Yang, Jürgen Branke
    Evolutionary algorithms for dynamic optimization problems: workshop preface. [Citation Graph (0, 0)][DBLP]
    GECCO Workshops, 2005, pp:23-24 [Conf]
  10. Shengxiang Yang
    PDGA: the Primal-Dual Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    HIS, 2003, pp:214-223 [Conf]
  11. Shengxiang Yang, Sima Uyar
    Adaptive mutation with fitness and allele distribution correlation for genetic algorithms. [Citation Graph (0, 0)][DBLP]
    SAC, 2006, pp:940-944 [Conf]
  12. Shengxiang Yang, Dingwei Wang
    A new adaptive neural network and heuristics hybrid approach for job-shop scheduling. [Citation Graph (0, 0)][DBLP]
    Computers & OR, 2001, v:28, n:10, pp:955-971 [Journal]
  13. Shengxiang Yang, Yew-Soon Ong, Yaochu Jin
    Editorial to special issue on evolutionary computation in dynamic and uncertain environments. [Citation Graph (0, 0)][DBLP]
    Genetic Programming and Evolvable Machines, 2006, v:7, n:4, pp:293-294 [Journal]
  14. Shengxiang Yang, Xin Yao
    Experimental study on population-based incremental learning algorithms for dynamic optimization problems. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2005, v:9, n:11, pp:815-834 [Journal]
  15. Shengxiang Yang
    Genetic Algorithms with Elitism-Based Immigrants for Changing Optimization Problems. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2007, pp:627-636 [Conf]
  16. Hongfeng Wang, Dingwei Wang, Shengxiang Yang
    Triggered Memory-Based Swarm Optimization in Dynamic Environments. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2007, pp:637-646 [Conf]
  17. Renato Tinós, Shengxiang Yang
    Genetic algorithms with self-organized criticality for dynamic optimization problems. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:2816-2823 [Conf]
  18. Shengxiang Yang
    Memory-enhanced univariate marginal distribution algorithms for dynamic optimization problems. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:2560-2567 [Conf]
  19. Renato Tinós, Shengxiang Yang
    A self-organizing random immigrants genetic algorithm for dynamic optimization problems. [Citation Graph (0, 0)][DBLP]
    Genetic Programming and Evolvable Machines, 2007, v:8, n:3, pp:255-286 [Journal]

  20. Memory Based on Abstraction for Dynamic Fitness Functions. [Citation Graph (, )][DBLP]


  21. Compound Particle Swarm Optimization in Dynamic Environments. [Citation Graph (, )][DBLP]


  22. A Directed Mutation Operator for Real Coded Genetic Algorithms. [Citation Graph (, )][DBLP]


  23. An Immune System Based Genetic Algorithm Using Permutation-Based Dualism for Dynamic Traveling Salesman Problems. [Citation Graph (, )][DBLP]


  24. Multi-population Genetic Algorithms with Immigrants Scheme for Dynamic Shortest Path Routing Problems in Mobile Ad Hoc Networks. [Citation Graph (, )][DBLP]


  25. Joint Multicast Routing and Channel Assignment in Multiradio Multichannel Wireless Mesh Networks Using Tabu Search. [Citation Graph (, )][DBLP]


  26. A Memetic Algorithm for the University Course Timetabling Problem. [Citation Graph (, )][DBLP]


  27. Job-Shop Scheduling with an Adaptive Neural Network and Local Search Hybrid Approach. [Citation Graph (, )][DBLP]


  28. Particle Filter with Swarm Move for Optimization. [Citation Graph (, )][DBLP]


  29. An Analysis of the XOR Dynamic Problem Generator Based on the Dynamical System. [Citation Graph (, )][DBLP]


  30. Ant Colony Optimization with Immigrants Schemes in Dynamic Environments. [Citation Graph (, )][DBLP]


  31. An Island Based Hybrid Evolutionary Algorithm for Optimization. [Citation Graph (, )][DBLP]


  32. Joint Multicast Routing and Channel Assignment in Multiradio Multichannel Wireless Mesh Networks Using Simulated Annealing. [Citation Graph (, )][DBLP]


  33. A Generalized Approach to Construct Benchmark Problems for Dynamic Optimization. [Citation Graph (, )][DBLP]


  34. Self-adaptation of mutation distribution in evolutionary algorithms. [Citation Graph (, )][DBLP]


  35. Continuous dynamic problem generators for evolutionary algorithms. [Citation Graph (, )][DBLP]


  36. Evolutionary programming with q-Gaussian mutation for dynamic optimization problems. [Citation Graph (, )][DBLP]


  37. Hyper-selection in dynamic environments. [Citation Graph (, )][DBLP]


  38. A multi-agent based evolutionary algorithm in non-stationary environments. [Citation Graph (, )][DBLP]


  39. An adaptive learning particle swarm optimizer for function optimization. [Citation Graph (, )][DBLP]


  40. Hyper-learning for population-based incremental learning in dynamic environments. [Citation Graph (, )][DBLP]


  41. Genetic algorithms with elitism-based immigrants for dynamic shortest path problem in mobile ad hoc networks. [Citation Graph (, )][DBLP]


  42. A clustering particle swarm optimizer for dynamic optimization. [Citation Graph (, )][DBLP]


  43. A Review of Personal Communications Services. [Citation Graph (, )][DBLP]


  44. A multipopulation parallel genetic simulated annealing-based QoS routing and wavelength assignment integration algorithm for multicast in optical networks. [Citation Graph (, )][DBLP]


  45. Genetic Algorithms with Memory- and Elitism-Based Immigrants in Dynamic Environments. [Citation Graph (, )][DBLP]


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