M. E. Aydin

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Terence FogartyLSBUVerified email at lsbu.ac.uk
Kit Yan ChanCurtin UniversityVerified email at curtin.edu.au
Ercan OztemelMarmara UniversityVerified email at marmara.edu.tr
Ioan-Sorin ComsaSwiss Distance University of Applied SciencesVerified email at ffhs.ch
Jie ZhangProfessor of Wireless Systems, University of SheffieldVerified email at sheffield.ac.uk
Raymond KwanCiscoVerified email at ece.ubc.ca
Dr. Ramona TrestianMiddlesex University, London, United KingdomVerified email at mdx.ac.uk
Gheorghita (George) GhineaProfessor in Mulsemedia Computing, Brunel UniversityVerified email at brunel.ac.uk
Mehmet SevkliMiami University, Farmer School of Business, Department of Information Systems and AnalyticsVerified email at miamioh.edu
Fred WagenProfessor, ICT, HES-SO//Fribourg (Switzerland)Verified email at hefr.ch
Vecihi Yiğitdr of industrial engineering, Ataturk UniversityVerified email at atauni.edu.tr
Rafet DurgutBandirma Onyedi Eylul University, Engineering and Natural Sciences; University of the West ofVerified email at uwe.ac.uk
Cyril LeungProfessor, Department of Electrical and Computer Engineering, University of British Columbia (UBC)Verified email at ece.ubc.ca
Muharrem DüğenciIndustrial Engineering ,Karabuk UniversityVerified email at karabuk.edu.tr
M. Batuhan AyhanMarmara UniversityVerified email at marmara.edu.tr
C.K. KwongThe hong kong polytechnic universityVerified email at polyu.edu.hk
Mehmet Fatih TUYSUZNorthumbria UniversityVerified email at northumbria.ac.uk
Hisham AlidrisiDepartment of Industrial Engineering, King Abdulaziz University (KAU).Verified email at kau.edu.sa
Steve, S.H. LINGSchool of Electrical and Data Engineering, University of Technology SydneyVerified email at uts.edu.au
Ali DehghantanhaAssociate Professor & Canada Research Chair in Cyber Security & Threat Intelligence at theVerified email at uoguelph.ca

M. E. Aydin

Computer Science, University of the West of England

Verified email at uwe.ac.uk - Homepage

reinforcement learning multi-agent systems metaheuristics planning and scheduling


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Dynamic job-shop scheduling using reinforcement learning agents ME Aydin, E Öztemel Robotics and Autonomous Systems 33 (2-3), 169-178, 2000	292	2000
A distributed evolutionary simulated annealing algorithm for combinatorial optimisation problems ME Aydin, TC Fogarty Journal of heuristics 10 (3), 269-292, 2004	144	2004
A simulated annealing algorithm for multi–agent systems: a job–shop scheduling application ME Aydin, TC Fogarty Journal of intelligent manufacturing, ISSN, 0956-5515, 2004	76	2004
Towards 5G: A reinforcement learning-based scheduling solution for data traffic management IS Comşa, S Zhang, M Aydin, P Kuonen, Y Lu, R Trestian, G Ghinea IEEE Transactions on Network and Service Management 15 (4), 1661-1675, 2018	75	2018
UMTS base station location planning: a mathematical model and heuristic optimisation algorithms J Yang, ME Aydin, J Zhang, C Maple IET communications 1 (5), 1007-1014, 2007	67	2007
Coordinating metaheuristic agents with swarm intelligence ME Aydin Journal of Intelligent Manufacturing 23 (4), 991-999, 2012	59	2012
A variable neighbourhood search algorithm for job shop scheduling problems M Sevkli, ME Aydin European Conference on Evolutionary Computation in Combinatorial …, 2006	54	2006
Teams of autonomous agents for job-shop scheduling problems: An experimental study ME Aydin, TC Fogarty Journal of Intelligent Manufacturing 15 (4), 455-462, 2004	52	2004
Threats on the horizon: understanding security threats in the era of cyber-physical systems S Walker-Roberts, M Hammoudeh, O Aldabbas, ME Aydin, ... The Journal of Supercomputing 76, 2643–2664, 2020	48	2020
A quantitative approach for measuring process innovation: a case study in a manufacturing company MB Ayhan, E Öztemel, ME Aydin, Y Yue International Journal of Production Research, 3463 - 3475, 2013	45	2013
Solving large-scale uncapacitated facility location problems with evolutionary simulated annealing V Yigit, ME Aydin, O Turkbey International journal of production research 44 (22), 4773-4791, 2006	41	2006
A new orthogonal array based crossover, with analysis of gene interactions, for evolutionary algorithms and its application to car door design KY Chan, CK Kwong, H Jiang, ME Aydin, TC Fogarty Expert Systems with Applications 37 (5), 3853-3862, 2010	37	2010
Parallel variable neighbourhood search algorithms for job shop scheduling problems M Sevkli, ME Aydin IMA Journal of Management Mathematics 18 (2), 117-133, 2007	35	2007
Heuristic-based neural networks for stochastic dynamic lot sizing problem E Şenyiğit, M Düğenci, ME Aydin, M Zeydan Applied Soft Computing 13 (3), 1331-1338, 2013	30	2013
Variable Neighbourhood Search for Job Shop Scheduling Problems. M Sevkli, ME Aydin J. Softw. 1 (2), 34-39, 2006	30	2006
Multiuser scheduling on the LTE downlink with meta-heuristic approaches ME Aydin, R Kwan, J Wu Physical Communication 9, 257–265, 2013	28	2013
Mathematical modelling and comparisons of four heuristic optimization algorithms for WCDMA radio network planning J Zhang, J Yang, ME Aydin, JY Wu 2006 International Conference on Transparent Optical Networks 3, 253-257, 2006	28	2006
Metaheuristic agent teams for job shop scheduling problems ME Aydin Holonic and Multi-Agent Systems for Manufacturing, Lecture Notes in Computer …, 2007	27	2007
A multi-agent based approach for change management in manufacturing enterprises MB Ayhan, ME Aydin, E Öztemel Journal of Intelligent Manufacturing 26 (5), 975-988, 2015	25	2015
Multiuser scheduling on the LTE downlink with simulated annealing ME Aydin, R Kwan, J Wu, J Zhang 2011 IEEE 73rd vehicular technology conference (VTC Spring), 1-5, 2011	25	2011

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