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      Dr Xin-She Yang

      Reader in Modelling and Optimization
      ROLE: Associate Professor in Simulation & Modelling
      SCHOOL: Science & Technology
      DEPARTMENT: Design Engineering & Maths
      TELEPHONE: +44 (0)20 8411 2351
      EMAIL: X.Yang@mdx.ac.uk
      1. Biography &
        Qualifications
      2. Learning &
        Teaching Interests
      3. Research Outputs &
        Interests
      4. Funded Research &
        Knowledge Exchange Projects
      5. Engagement &
        Impact

      • Biography &
        Qualifications

        My main interests are applied mathematics, algorithm development,  computational intelligence, engineering optimisation, mathematical modelling, optimisation and swarm intelligence.  

        Some of my recent publications can be found at
        Middlesex University Research Repository   or     Google scholar


        Languages Spoken

      • Learning &
        Teaching Interests

        Modules for Master Programmes:

        PDE4905 Engineering Simulation

        MSO4511 Optimisation Theory

        MSO4512 Applied Optimisation

         

        Modules for Undergraduates:

        MSO2140 Problem Solving Methods

        PDE1430  Formal Methods: Mathematics and Matlab

        MSO2620 Financial Mathematics

      • Research Outputs &
        Interests

        Some of my recent publications can be found at
        Middlesex University Research Repository   or     Google scholar

        Publication Feed

        Influence of initialization on the performance of metaheuristic optimizers

        Li, Qian and Liu, San-Yang and Yang, Xin-She (2020) Influence of initialization on the performance of metaheuristic optimizers. Applied Soft Computing , 91 . ISSN 1568-4946 (Published online first)

        Nature-inspired optimization algorithms: challenges and open problems

        Yang, Xin-She (2020) Nature-inspired optimization algorithms: challenges and open problems. Journal of Computational Science . ISSN 1877-7503 (Published online first)

        Improved tabu search and simulated annealing methods for nonlinear data assimilation

        Nino-Ruiz, Elias D. and Yang, Xin-She (2019) Improved tabu search and simulated annealing methods for nonlinear data assimilation. Applied Soft Computing , 83 . p. 105624. ISSN 1568-4946

        Atomic scheduling of appliance energy consumption in residential smart grids

        Kim, Kyeong Soo and Lee, Sanghyuk and Ting, Tiew On and Yang, Xin-She (2019) Atomic scheduling of appliance energy consumption in residential smart grids. Energies , 12 (19). ISSN 1996-1073

        Bio-inspired computation: where we stand and what's next

        Del Ser, Javier and Osaba, Eneko and Molina, Daniel and Yang, Xin-She and Salcedo-Sanz, Sancho and Camacho, David and Das, Swagatam and Suganthan, Ponnuthurai N. and Coello Coello, Carlos A. and Herrera, Francisco (2019) Bio-inspired computation: where we stand and what's next. Swarm and Evolutionary Computation , 48 . pp. 220-250. ISSN 2210-6502

        181038

      • Funded Research &
        Knowledge Exchange Projects

        Research projects have been supported by National Measurement Office (NMO), BIS, Southwest Development Agency (UK), EuroMet, EPSRC, NPL, National Science Foundation of China and industrial partners such as Petrochina and Shell.

      • Engagement &
        Impact

        IEEE CIS Task Force Chair of BIKM, also part of the Technical Committee of Computational Finance and Economics of IEEE Computational Intelligence Society

        Advisor for International Journal of Bio-Inspired Computation (IJBIC, Web of Science)

        Editorial Board Member of Elsevier's Journal of Computational Science (Web of Science)

        Editorial Board Member of International Journal of Computer Mathematics (Web of Science)

        Editorial Board Member of International Journal of Parallel, Emergent and Distributed Systems (Web of Science)

        Editiroal Board Memeber of Engineering Science and Technology: An International Journal (Web of Science)

        Editor-in-Chief of Int. J. Mathematical Modelling and Numerical Optimisation (Scopus)

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