Xin-She Yang

Collaborator

Prof. Dr. Xin-She Yang is Reader in modelling and optimization at Middlesex University and an elected Bye-Fellow of Downing College at Cambridge University. Yang received his DPhil in applied mathematics from the University of Oxford. With more than 200 publications and more than 15 books, his research interests include nature-inspired computation, swarm intelligence, modelling and optimization. He is the chair of the Task Force on Business Intelligence and Knowledge Management of the IEEE Computational Intelligence Society. He is listed as a highly cited researcher by Thomson Reuters/Clarivate Analytics in both 2016 and 2017.


CONTACT INFORMATION:

PUBLICATIONS

  • [DOI] E. Osaba, X. Yang, F. Diaz, P. Lopez-Garcia, and R. Carballedo, “An improved discrete bat algorithm for symmetric and asymmetric traveling salesman problems,” Engineering applications of artificial intelligence, vol. 48, pp. 59-71, 2016.
    [Bibtex]
    @article{osaba2016improved,
    title={An improved discrete bat algorithm for symmetric and asymmetric traveling salesman problems},
    author={Osaba, Eneko and Yang, Xin-She and Diaz, Fernando and Lopez-Garcia, Pedro and Carballedo, Roberto},
    journal={Engineering Applications of Artificial Intelligence},
    volume={48},
    doi={10.1016/j.engappai.2015.10.006},
    pages={59--71},
    year={2016},
    publisher={Pergamon}
    }
  • [DOI] E. Osaba, R. Carballedo, X. Yang, and F. Diaz, “An evolutionary discrete firefly algorithm with novel operators for solving the vehicle routing problem with time windows,” in Nature-inspired computation in engineering, Springer International Publishing, 2016, pp. 21-41.
    [Bibtex]
    @incollection{osaba2016evolutionary,
    title={An evolutionary discrete firefly algorithm with novel operators for solving the vehicle routing problem with time windows},
    author={Osaba, Eneko and Carballedo, Roberto and Yang, Xin-She and Diaz, Fernando},
    booktitle={Nature-Inspired Computation in Engineering},
    pages={21--41},
    doi={10.1007/978-3-319-30235-5_2},
    year={2016},
    publisher={Springer International Publishing}
    }
  • [DOI] E. Osaba, X. Yang, F. Diaz, E. Onieva, A. D. Masegosa, and A. Perallos, “A discrete firefly algorithm to solve a rich vehicle routing problem modelling a newspaper distribution system with recycling policy,” Soft computing, vol. 21, iss. 18, pp. 5295-5308, 2017.
    [Bibtex]
    @article{osaba2017discrete,
    title={A discrete firefly algorithm to solve a rich vehicle routing problem modelling a newspaper distribution system with recycling policy},
    author={Osaba, Eneko and Yang, Xin-She and Diaz, Fernando and Onieva, Enrique and Masegosa, Antonio D and Perallos, Asier},
    journal={Soft Computing},
    volume={21},
    number={18},
    doi={10.1007/s00500-016-2114-1},
    pages={5295--5308},
    year={2017},
    publisher={Springer Berlin Heidelberg}
    }
  • [DOI] E. Osaba, R. Carballedo, X. Yang, I. Fister Jr, P. Lopez-Garcia, and J. Del Ser, “On efficiently solving the vehicle routing problem with time windows using the bat algorithm with random reinsertion operators,” in Nature-inspired algorithms and applied optimization, Springer, 2018.
    [Bibtex]
    @incollection{osaba2018efficiently,
    title={On efficiently solving the Vehicle Routing Problem with Time Windows using the Bat Algorithm with Random Reinsertion Operators},
    author={Osaba, Eneko and Carballedo, Roberto and Yang, Xin-She and Fister Jr, Iztok and Lopez-Garcia, Pedro and Del Ser, Javier},
    booktitle={Nature-Inspired Algorithms and Applied Optimization},
    year={2018},
    doi={10.1007/978-3-319-67669-2_4},
    publisher={Springer}
    }