Dr Mehmet Aydin

Profile

Dr Mehmet Aydin, Research Fellow

Dr. Mehmet Emin Aydin is a research/teaching fellow in Department of Computing and Information Systems of the University of Bedfordshire. After completing his PhD, he has worked on an EPSRC funded research project as a research fellow in the University of Aberdeen from September 1998 to September 1999. He has continued researching on parallel and distributed evolutionary algorithms and  multi agent systems in London South Bank University from January 2001 to September 2003 working on the EU funded research project, DREAM (Distributed Resource Evolutionary Algorithm Machine) as a research fellow.

From November 2003 to July 2004, he has worked on a DTI/EPSRC funded research project at University of the West of England as a research fellow investigating the viability of distributed problem solvers via web services. He joined Department of Computing and Information Systems of the University of Bedfordshire in March 2006 to research on planning and optimisation of radio access networks.

He has conducted leading guest editorial for International Journal of Production Research for the special issue on Advances in Evolutionary Computation for Manufacturing and Design Problems, which has been published as Vol.44 Is. 22. In addition to the membership of advisory committee of many international conferences, he is a member of editorial board of European Journal of Industrial Engineering (EJIE).

Educational Details

• B.Sc. Industrial Engineering, Istanbul Technical University, Turkey, 1991
• MA. Production Management, Istanbul University, Turkey, 1994
• Ph.D. Intelligent Manufacturing Systems, Sakarya University, Turkey, 1997

Memberships

• The OR Society UK
• ACM
• IEEE Computer Society

Current Research Interests

• Grid-enabled/ parallel and distributed metaheuristics
• Mobile network planning and optimisation
• Combinatorial optimisation
• Evolutionary computation
• Intelligent agents and multi-agent systems

Selected Journal Papers (From 2000)

• Aydin, M.E.,Öztemel, E., (2000), “Dynamic job-shop scheduling using reinforcement learning agents”, Robotics and Autonomous Systems, 33(2-3), 169-178.
• Chan, K. Y., Aydin, M. E. and Fogarty, T. C. (2003),“New factorial design theoretic genetic crossover operator for parametrical problem”, Lecture Notes in Computer Science, 2610, 22-34.
• Aydin, M.E., Fogarty, T.C., (2004), "A Distributed Evolutionary Simulated Annealing for Combinatorial Optimisation Problems", Journal of Heuristics, 10(3), 269-292.
• Aydin, M.E., Fogarty, T.C., (2004), "Teams of asynchronous agents for job-shop scheduling problems: an experimental study", Journal of Intelligent Manufacturing 15(4), 455-462.
• Aydin, M.E., Fogarty, T.C., (2004), "A simulated annealing algorithm for multi-agents systems: A job shop scheduling application" Journal of Intelligent Manufacturing, 15(6), 805-814.
• Chan, K. Y., Aydin, M. E. and Fogarty, T. C. (2005), “Main effect fine-tuning of the mutation operator and the neighbourhood function for uncapacitated facility location problems”, Soft Computing Journal, 10 (11): 1075-1090.
• Yiğit, V., Aydin,. M.E., Turkebey, O., (2005), “Solving large scale uncapacitated facility location problems with evolutionary simulated annealing”, International Journal of Production Research, 44(22), 4773-4791.
• Kwong,. C.K., Chan, K. Y., Aydin, M. E. and Fogarty, T. C. (2005), “An orthogonal array based genetic algorithm for developing neural network based process models of fluid dispensing”, International Journal of Production Research, 44(22), 4815-4836.
• Şevkli, M., Aydin,. M.E., (2006), “A Variable neighbourhood search algorithm for job shop scheduling problems”, Lecture Notes in Computer Science, 3906, 261-271.
• Şevkli, M., Aydin,. M.E., (2006), “Variable neighbourhood search for job shop scheduling problems”, Journal of Software, 1(2), 34-39.
• Şevkli, M., Aydin,. M.E., (2007), “Parallel variable neighbourhood search for job shop scheduling problems”, IMA Journal of Management Mathematics, 18(2): 117-133.
• Yang, J., Zhang, J., Aydin, M. E., and Wu, J.Y,(2007), “Optimisation of WCDMA radio networks with consideration of link-level performance factors”, Inter. J. of Mobile Network Design and Innovation, Vol. 2 (1), 26-33.
• Yang, J., Aydin, M. E., Zhang, J., and Maple, C., (2007), “UMTS base station location planning: A mathematical model and heuristic optimisation algorithms”, IET Communications, 1(5), 1000-1014.
• Chan, K. Y., Aydin, M. E. Ling, S.H., Fogarty, T.C., Iu, H.H.C., (2007), “Genetic algorithms with dynamic mutation rates and their industrial applications” submitted to International Journal of Computational Intelligence and Applications.
• Chan, K. Y., Aydin, M. E. Ling, S.H., Fogarty, T.C., Iu, H.H.C., (2007), “Orthogonal array based genetic operators for design problems tackled with quality function deployment”, submitted to IEEE Trans. On Evolutionary Computation
• Chan, K. Y., Aydin, M. E. Ling, S.H., Fogarty, T.C., Iu, H.H.C., (2008), “A statistics-based genetic algorithm for quality improvements of power supplies” submitted to European Journal of Industrial Engineering
• Kwan, R. Aydin, M. E., Luang, C. and Zhang, J., (2008), “On multiuser scheduling in HSDPA”, submitted to IET Communications.

Selected Conference Papers (From 2000)

• Aydin, M.E., (2001), " Teams of asynchronous agents for job-shop scheduling problems",In :Proc. of 3nd International Intelligent Manufacturing Systems Symposium, 3-4 September 2001, Sakarya University, Adapazari, Turkey.
• Aydin, M.E.,Fogarty, T.C., (2001), " Simulated annealing with evolutionary process for job-shop scheduling problems", In: EUROGEN 2001 - Evolutionary Methods for Design, Optimisation and Control with Applications to Industrial Problems, 19-21 September 2001, Athens, Greece.
• Aydin, M.E.,Fogarty, T.C., (2002), " A modular simulated annealing algorithm for multi-agent systems: A job shop scheduling application", In Proc. of ICRM 2002 (2^nd International Conference of Responsive Manufacturing), 26-18 June 2002,Gaziantep, Turkey.
• Aydin, M.E., Yigit, V., Fogarty, T.C., (2002), "A Parallel Simulated Annealing Implementation for Uncapacitated Facility Location Problems", In: Proceedings of  ECCO XV (XV Conference of the European Chapter on Combinatorial Optimization),  30 May-1 June 2002, University of Lugano, Lugano, Switzerland.
• Werner, J. C., Aydin, M. E., Fogarty, T. C., (2002), “Evolving genetic algorithms for job shop scheduling problems”, in ACDM’2002, University of Plymouth, UK.
• Aydin, M. E., (2003), "Collective learning of infohabitants for Multi-Bar problem by Q-learning algorithm ", in Proceedings of WI/IAT 2003 Workshop on Knowledge Grid and Grid Intelligence, 13 October 2003, Halifax, Canada, pp:67-76, 2003.
• Chan, K. Y., Aydin, M. E. and Fogarty, T. C. (2003),“New factorial design theoretic genetic crossover operator for parametrical problem”, In Pro. of EuroGP 2003, University of Essex, Colchester, UK, Lecture Notes in Computer Science, 2610, pp:22-34.
• Chan, K. Y., Aydin, M. E. and Fogarty, T. C. (2003) "An epistasis measure based on the analysis of variance for the real-coded representation in genetic algorithms", in Proceedings of the IEEE  International Congress on Evolutionary Computation, Canberra, Australia, pp. 297-304, 2003.
• Chan, K. Y., Aydin, M. E. and Fogarty, T. C. (2003)  "A Taguchi method-based crossover operator for the parametrical problems", in Proceedings of the IEEE International Congress on Evolutionary Computation, Canberra, Australia, pp. 971-977, 2003.
• Chan, K. Y., Aydin, M. E. and Fogarty, T. C. (2004), "Parameterisation of mutation in evolutionary algorithms using the estimated main effect of genes", in Proceedings of the IEEE International Congress on Evolutionary Computation, CEC2004, 19-23 June 2004, Portland, Oregon, USA.
• Chan, K. Y., Aydin, M. E. and Fogarty, T. C. (2004), "An empirical study on the performance of factorial design based crossover on parametrical problems", in Proceedings of the IEEE International Congress on Evolutionary Computation, CEC2004, 19-23 June 2004, Portland, Oregon, USA.
• Yigit, V.,Aydin, M.E.,  Turkbey, O., (2004), "Evolutionary simulated annealing algorithms for uncapacitated facility location problems", in Proceedings of ACDM 2004, pp. 185-196, 20-22 April 2004, Bristol, UK.
• Yigit, V.,Aydin, M.E.,  Turkbey, O., (2004), “Simulated annealing algorithms for uncapacitated facility location problems”, in Proc. of 4th International Symposium on Intelligent Manufacturing Systems, 6-8 September 2004, Sakarya University, Adapazari, Turkey.
• Aydin, M.E., Yigit, V., Turker, A.K., (2004), “Performance analysis of operators used in Evolutionary simulated Annealing”, in Proc. of 4th International Symposium on Intelligent Manufacturing Systems, 6-8 September 2004, Sakarya University, Adapazari, Turkey.
• Aydin, M.E., (2005), “Sensitivity analysis for job shop scheduling problems”, MISTA2005, 18-21 July 2005, New York University, New York, USA.
• Aydin,. M.E., (2005), “A robustness index for scheduling based on sensitivity analysis”, IPROMS 2005, 4-12 July 2005, Cardiff University, Cardiff, UK .
• Sevkli, M., Aydin,. M.E., (2006), “A Variable neighbourhood search algorithm for job shop scheduling problems”,  in EvoCOP 2006, 10-12 April 2006, Budapest, Hungary .
• Chan, K.Y., Yiu, C.K.F., Aydin, M.E. and Fogarty, T.C., (2006), “A modified simulated annealing algorithm for solving uncapacitated facility location problems”,In: Proceedings of the 1st International Conference on Logistic and Supply Chain Management 2006, Hong Kong.
• Sevkli, M., Aydin,. M.E., (2006), “Collaborating Variable Neighbourhood Search Algorithms for Job Shop Scheduling Problems”, in Proc. of 5th International Symposium on Intelligent Manufacturing Systems, May 29-31, 2006, Sakarya, Turkey.
• Zhang, J., Yang, J., Aydin, M. E. and Wu, J. Y., (2006), “Mathematical modelling and comparisons of four heuristic optimization algorithms for WCDMA radio network planning”, In: Proc. of 8th IEEE ICTON, GRAAL Annual Conference, June 2006, Nottingham, UK, pp. 253-257.
• Zhang, J., Yang, J., and Aydin, M. E. (2006), “A study on programming model and heuristic optimization algorithms for WCDMA radio networks”, In: Proc. of 1st International Conference on Communications and Networking in China, ChinaCom '06, 25-27 Oct. 2006, Beijing, China.
• Yang, J., Zhang , J., Aydin, M. E. and J. Wu: “A Novel Programming Model and Optimisation Algorithms for WCDMA Networks”, 65th IEEE VTC, Dublin, Ireland, 2007.
• Aydin, M. E., Yang, J., and Zhang, J., (2007), “ A comparative investigation on heuristic optimisation of WCDMA radio networks”, In: EvoWorkshops 2007, 11-13 April 2007, Valencia, Spain, (Lecturer Notes in Computer Sciences, 4448:111-120) .
• Aydin, M. E., (2007), “Meta-heuristic agent teams for job shop scheduling problems”, In: HoloMAS 2007, 3-5 September 2007, Regensburg, Germany. (Lecture Notes in Artificial Intelligence 4659:185-194).
• Kwan, R. Aydin, M. E., Luang, C. and Zhang, J., (2008), “Multiuser scheduling in HSDPA using Simulated Annealing”, submitted to IEEE IWCMC 2008, Crete Island, Greece.
• Aydin, M. E., Kwan, R., Luang, C. and Zhang, J., (2008), “A particle swarm optimisation algorithm for multiuser scheduling in HSDPA”, submitted to ANTS 2008, Brussels, Belgium.

Book Chapters (from 2000)

• Aydin, M.E., Fogarty, T.C., (2002), "Simulated annealing with evolutionary process for job-shop scheduling problems", In Evolutionary Methods for Design, Optimisation and Control, K. Giannakoglou, D. Tsahalis, J. Periaux, K. Papailiou, and T. C. Fogarty, (Ed.) (Proc. of EUROGEN 2001, Athens, September) CIMNE, Barcelona, 2002
• Yigit, V., Aydin, M.E.,  Turkbey, O., (2004), "Evolutionary simulated annealing algorithms for uncapacitated facility location problems", in Adaptive Computing in Design and Manufacture VI, I.C. Parmee (Ed.)  pp. 185-196, Springer, 2004, UK.
• Aydin, M.E., Yigit, V., (2005), “Parallel simulated annealing”, in Parallel Metaheuristics, E.Alba (Ed.), Wiley, 2005.
• Aydin,. M.E., and Şevkli, M., (2008), “Serial and parallel variable neighbourhood search for job shop scheduling problems”, a chapter in Handbook of Parallel Metaheuristics for Scheduling, Vol. 2. (to appear in April, 2008).

Guest Editorial

• Aydin, M.E., Ozbayrak, M., and Fogarty, T.C., Special Issue on “Advances in Evolutionary Computation for Design and Manufacturing Problems”, International Journal of Production Research, 44, (22).
• Dereli, T., and Aydin, M.E., Special Issue on “Emergent Computing in Service Management”, European Journal of Industrial Engineering, (Review process is in progress, to appear within 2009)

Book Reviews

• Aydin, M.E..,(2004), A review on “Multiple Criteria and Multiple Constraint Levels Linear Programming, by Y. Shi, World Scientific, 2003, 540 pp.”, Journal of The Operational Research Society, 55(5), 557-558.
• Aydin, M.E., (2006) “Dynamic programming in economics by C. Leven, Springer”, Journal of The Operational Research Society, 57(3): 329-330 MAR 2006
• Aydin , M.E., (2006), “Analysis and algorithms for service parts supply chains by John A. Muckstadt, Springer", Journal of The Operational Research Society, 57(10): 1259-1259 OCT 2006.
• Aydin , M.E., (2008), “Online stochastic combinatorial optimisation” by P. VanHentenryck and R. Bent, MIT", to appear on Journal of The Operational Research Society.

Contact

Mehmet Aydin
T: +44 (0)1582 743717
E: mehmet . aydin [at] beds . ac .uk