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Publications

Dr Mehmet Aydin Publications 

Edited Journal Issues:

  • Dereli, T., and Aydin, M.E., Special Issue on “Emergent Computing in Service Management”, European Journal of Industrial Engineering, 3(4), December 2009.
  • 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), November 2006.
Selected Journal Papers (since 2000)
  • Aydin, M. E., Kwan, R.  Luang, C., Zhang, J. and Maple, C., (2010), “Embedding simulated annealing in particle swarm optimisation for multiuser scheduling in high speed downlink packet access”, submitted to Journal of Scheduling.
  • Aydin, M. E., (2010), “Swarm intelligence to coordinate meta-heuristic agents”, submitted to Journal of Intelligent Manufacturing.
  • Chan , K. Y., Zhu, H-L., Aydin, M. E., Lau, C. C., (2010), “An Evolutionary Variable Neighbourhood Search for Selecting Combinational Gene Signatures in Predicting Chemo-response of Osteosarcoma”, International Journal of Information and System Sciences. (forthcoming).
  • Chan, K. Y., Kwong, C. K., Jiang, H., Aydin, M. E. , Fogarty, T.C., (2010), “A new orthogonal array based crossover, with analysis of gene interactions, for evolutionary algorithms and its application to car door design”, Expert Systems and Applications, 37 (5), 3853–3862.
  • Kwan, R. Aydin, M. E., Luang, C. and Zhang, J., (2009), “Multiuser scheduling in high speed downlink packet access”, IET Communications, 3(8), 1363-1370.
  • Chan, K. Y., Aydin, M. E. Ling, S.H., Fogarty, T.C., Iu, H.H.C., (2009), “A statistics-based genetic algorithm for quality improvements of power supplies” European Journal of Industrial Engineering, 3(4), 468-492.
  • Dereli, T., Seckiner, S.U., Das, G.S., Gokcen, H., and Aydin, M.E., (2009), “An exploration of the literature on the use of ‘swarm intelligence based techniques’ for public service problems”, European Journal of Industrial Engineering, 3(4), 379-423.
  • Chan, K. Y., Fogarty, T.C., Aydin, M. E. Ling, S.H., and  Iu, H.H.C., (2008), “Genetic algorithms with dynamic mutation rates and their industrial applications”, International Journal of Computational Intelligence and Applications, 7(2), 103-128.
  • 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.
  • 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.
  • Şevkli, M., Aydin,. M.E., (2007), “Parallel variable neighbourhood search for job shop scheduling problems”, IMA Journal of Management Mathematics, 18(2): 117-133.
  • Şevkli, M., Aydin,. M.E., (2006), “Variable neighbourhood search for job shop scheduling problems”, Journal of Software, 1(2), 34-39.
  • 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.
  • Yiğit, V., Aydin,. M.E., and Turkebey, O., (2005), “Solving large scale uncapacitated facility location problems with evolutionary simulated annealing”, International Journal of Production Research, 44(22), 4773-4791.
  • 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.
  • Aydin, M.E., and 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.
  • Aydin, M.E., and 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., and Fogarty, T.C., (2004), "A Distributed Evolutionary Simulated Annealing for Combinatorial Optimisation Problems", Journal of Heuristics, 10(3), 269-292.
  • Aydin, M.E., and Öztemel, E., (2000), “Dynamic job-shop scheduling using reinforcement learning agents”, Robotics and Autonomous Systems, 33(2-3), 169-178.
Selected Conference Papers (since 2000)
  • Şevkli, M., Aydin,. M.E., (2009), “Variable neighbourhood tabu search algorithms for permutation flowshop scheduling problems”, GEM'09 - The 2009 International Conference on Genetic and Evolutionary Methods, Monte Carlo Resort, Las Vegas, Nevada, USA, July 13-16, 2009.
  • Aydin, M. E., Kwan, R., Luang, C. and Zhang, J., (2009), “Multiuser scheduling in HSDPA using particle swarm optimisation” EvoCOMNET 2009, Germany, In: Lecture Notes in Computer Science, 5484, 71-80.
  • Kwan, R. Aydin, M. E., Luang, C. and Zhang, J., (2008), “Multiuser scheduling in HSDPA using Simulated Annealing”, 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”, ANTS 2008, Brussels, Belgium, In:Lecture Notes in Computer Science, 5217, 395-396.
  • Chan, K.Y., Zhu, H.L., Aydin, M. E., Lau, C. C., Wang, H.Q., (2008), “An integrated approach of support vector machine and variable neighbourhood search for discovering combinatorial gene signatures in predicting chemo-response of osteosarcoma” ,IMECS 2008, 19-21 March, 2008 Hong Kong,.
  • Aydin, M.E., (2008), “Swarm Intelligence to coordinate metaheuristic agents”, IMS 2008, 14-16 October 2008, Adapazari, Turkey.
  • 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. Lecture Notes in Computer Science, 4448:111-120.
  • Zhang, J., Yang, J., Aydin, M. E. and Wu, J. Y., (2007), “A novel programming model and optimisation algorithms for WCDMA networks”, IEEE 65th VTC’2007, 25-26 April 2007, Dublin, Ireland.
  • 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.
  • 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.
  • Şevkli, M., Aydin,. M.E., (2006), “Collaborating variable neighbourhood search algorithms for job shop scheduling problems”, In Pro. of IMS 2006 29-31 April 2006, Adapazari, Turkey. 261-271.
  • 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.
  • Şevkli, M., Aydin,. M.E., (2006), “A variable neighbourhood search implementation for job shop scheduling problems”, . In Pro. of EvoCOP 2006 10-12 April 2006, Budapest, Hungary. Lecture Notes in Computer Science 3906: 261-271.
  • 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 .
  • 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.
  • Aydin, M.E., Yigit, V., Turker, A.K., (2004), " Performance analysis of operators used in evolutionary simulated annealing ",In Proceedings of IMS 2004, 6-8 September 2004, Adapazari, Turkey.
  • Yigit, V., Aydin, M.E., Turkbey, O., (2004), " Simulated annealing algorithms for large scale uncapacitated facility location problems", In Proceedings of IMS 2004, 6-8 September 2004, Adapazari, Turkey.
  • 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.
  • 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 (2nd International Conference of Responsive Manufacturing), 26-18 June 2002,Gaziantep, Turkey.
  • 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.
Book Chapters (since 2000)
  • 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).
  • Aydin, M.E., Yigit, V., (2005), “Parallel simulated annealing”, in Parallel Metaheuristics, E.Alba (Ed.), Wiley, 2005.
  • 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., 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
Book Reviews
  • Aydin , M.E., (2008), “Online stochastic combinatorial optimisation” by P. VanHentenryck and R. Bent, MIT", to appear on Journal of The Operational Research Society.
  • 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., (2006) “Dynamic programming in economics by C. Leven, Springer”, Journal of The Operational Research Society, 57(3): 329-330 MAR 2006
  • 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.
Bedfordshire University

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