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Mehmet Emin Aydin
Mehmet Aydin 0001
Person information
- affiliation: University of the West of England, Department of Computer Science and Creative Technologies, Bristol, UK
- affiliation: University of Bedfordshire, Department of Computing and Information Systems, Luton, UK
- affiliation: London South Bank University, Faculty of Business, Computing and Information Management, UK
Other persons with the same name
- Mehmet Aydin 0002 — Tüpras, Bilgi Teknolojileri Müdürlügü, Izmit
- Mehmet Aydin 0003
— Bilecik Şeyh Edebali University, Turkey
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2020 – today
- 2024
- [j35]Mehmet Emin Aydin
Why Reinforcement Learning? Algorithms 17(6): 269 (2024) - [j34]Esra Gulmez
Heuristic and swarm intelligence algorithms for work-life balance problem. Comput. Ind. Eng. 187: 109857 (2024) - [j33]Mehmet Emin Aydin
Feature-based search space characterisation for data-driven adaptive operator selection. Evol. Syst. 15(1): 99-114 (2024) - [i5]Mehmet Emin Aydin, Rafet Durgut, Abdur Rakib:
Adaptive operator selection utilising generalised experience. CoRR abs/2401.05350 (2024) - 2023
- [j32]Khoa Phung
Error-Type - A Novel Set of Software Metrics for Software Fault Prediction. IEEE Access 11: 30562-30574 (2023) - 2022
- [j31]Rafet Durgut
Transfer Learning for Operator Selection: A Reinforcement Learning Approach. Algorithms 15(1): 24 (2022) - [j30]Azizkhon Afzalov
A Strategy-Based Algorithm for Moving Targets in an Environment with Multiple Agents. SN Comput. Sci. 3(6): 435 (2022) - [c36]Rafet Durgut, Mehmet Emin Aydin
Analysing the Predictivity of Features to Characterise the Search Space. ICANN (4) 2022: 1-13 - [e4]Elias Pimenidis
Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13529, Springer 2022, ISBN 978-3-031-15918-3 [contents] - [e3]Elias Pimenidis
Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13530, Springer 2022, ISBN 978-3-031-15930-5 [contents] - [e2]Elias Pimenidis
Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13531, Springer 2022, ISBN 978-3-031-15933-6 [contents] - [e1]Elias Pimenidis
Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part IV. Lecture Notes in Computer Science 13532, Springer 2022, ISBN 978-3-031-15936-7 [contents] - [i4]Rafet Durgut, Mehmet Emin Aydin, Hisham Ihshaish, Abdur Rakib:
Analysing the Predictivity of Features to Characterise the Search Space. CoRR abs/2209.06114 (2022) - 2021
- [j29]Rafet Durgut, Mehmet Emin Aydin
Adaptive binary artificial bee colony algorithm. Appl. Soft Comput. 101: 107054 (2021) - [j28]Mehmet Emin Aydin
A multi agent-based approach for energy efficient water resource management. Comput. Ind. Eng. 151: 106679 (2021) - [j27]Özer Uygun
Digital transformation: Industry 4.0 for future minds and future society. Comput. Ind. Eng. 157: 107362 (2021) - [j26]Rafet Durgut, Mehmet Emin Aydin
Adaptive operator selection with reinforcement learning. Inf. Sci. 581: 773-790 (2021) - [j25]Khoa Phung, Dilshan Jayatilake, Emmanuel Ogunshile, Mehmet Aydin
A Stream X-Machine Tool for Modelling and Generating Test Cases for Chronic Diseases Based on State-Counting Approach. Program. Comput. Softw. 47(8): 765-777 (2021) - [c35]Azizkhon Afzalov, Ahmad Lotfi, Benjamin Inden, Mehmet Emin Aydin
Multiple Pursuers TrailMax Algorithm for Dynamic Environments. ICAART (2) 2021: 437-443 - [c34]Azizkhon Afzalov
Multi-Agent Path Planning Approach Using Assignment Strategy Variations in Pursuit of Moving Targets. KES-AMSTA 2021: 451-463 - [c33]Rafet Durgut, Mehmet Emin Aydin
Reinforcement Learning-Based Adaptive Operator Selection. OLA 2021: 29-41 - [c32]Ibrahim Atli, Rafet Durgut, Mehmet Emin Aydin
A Comparative Analysis for Binary Search Operators used in Artificial Bee Colony. SIU 2021: 1-4 - 2020
- [j24]Issam W. Damaj, Mohammed El-Shafei, Mohammed El-Abd, Mehmet Emin Aydin
An analytical framework for high-speed hardware particle swarm optimization. Microprocess. Microsystems 72 (2020) - [j23]Muharrem Dügenci, Mehmet Emin Aydin
A honeybees-inspired heuristic algorithm for numerical optimisation. Neural Comput. Appl. 32(16): 12311-12325 (2020) - [j22]Mehmet Fatih Tüysüz
QoE-Based Mobility-Aware Collaborative Video Streaming on the Edge of 5G. IEEE Trans. Ind. Informatics 16(11): 7115-7125 (2020) - [j21]Steven Walker-Roberts, Mohammad Hammoudeh
Threats on the horizon: understanding security threats in the era of cyber-physical systems. J. Supercomput. 76(4): 2643-2664 (2020) - [c31]Rafet Durgut
Feature Selection with Artificial Bee Colony Algorithms for Classifying Parkinson's Diseases. EANN 2020: 338-351
2010 – 2019
- 2019
- [j20]Ioan-Sorin Comsa
A Comparison of Reinforcement Learning Algorithms in Fairness-Oriented OFDMA Schedulers. Inf. 10(10): 315 (2019) - [c30]Ioan-Sorin Comsa, Sijing Zhang, Mehmet Aydin
Enhancing User Fairness in OFDMA Radio Access Networks Through Machine Learning. Wireless Days 2019: 1-8 - 2018
- [j19]Kit Yan Chan, Mehmet Emin Aydin
Editorial Message: Special Issue on Efficient Fuzzy Systems for Mining Large Scale, Imprecise, Uncertain and Vague Data. Int. J. Fuzzy Syst. 20(4): 1203-1204 (2018) - [j18]Ioan-Sorin Comsa
Towards 5G: A Reinforcement Learning-Based Scheduling Solution for Data Traffic Management. IEEE Trans. Netw. Serv. Manag. 15(4): 1661-1675 (2018) - [c29]Muhammad Ishaq, Mazhar Hussain Malik, Mehmet Emin Aydin
Managing Congestion in Vehicular Networks Using Tabu Search. EANN 2018: 118-129 - [c28]Özer Uygun
Selecting Display Products for Furniture Stores Using Fuzzy Multi-criteria Decision Making Techniques. EANN 2018: 181-193 - [c27]Muharrem Dügenci, Mehmet Emin Aydin
Diversifying Search in Bee Algorithms for Numerical Optimisation. ICCCI (2) 2018: 132-144 - [c26]Mehmet Emin Aydin
Building Collaboration in Multi-agent Systems Using Reinforcement Learning. ICCCI (2) 2018: 201-212 - [c25]Malik Hasnain, Mazhar Hussain Malik, Mehmet Emin Aydin
An adaptive opportunistic routing scheme for reliable data delivery in WSNs. ICFNDS 2018: 32:1-32:7 - 2017
- [c24]Mohammad Shahriari, Mehmet Emin Aydin
Aviation Accident Analysis: A Case Study. AHFE (20) 2017: 77-85 - [c23]Mohammad Shahriari, Mehmet Emin Aydin
Lessons Learned from Analysis of Los Frailes Tailing Dam Failure. AHFE (20) 2017: 309-317 - [c22]Mazhar Hussain Malik, Abdul Majeed, Mehmet Emin Aydin
A Parametric Study for Congestion Control in Queuing Networks. ICFNDS 2017: 47 - [i3]Mehmet Emin Aydin, Ryan Fellows:
A reinforcement learning algorithm for building collaboration in multi-agent systems. CoRR abs/1711.10574 (2017) - 2015
- [j17]Muharrem Dügenci, Alpay Aydemir, Ismail Esen
Creep modelling of polypropylenes using artificial neural networks trained with Bee algorithms. Eng. Appl. Artif. Intell. 45: 71-79 (2015) - [j16]Mustafa Batuhan Ayhan, Mehmet Emin Aydin
A multi-agent based approach for change management in manufacturing enterprises. J. Intell. Manuf. 26(5): 975-988 (2015) - 2014
- [c21]Ioan Sorin Comsa, Sijing Zhang, Mehmet Aydin, Jianping Chen, Pierre Kuonen, Jean-Frédéric Wagen:
Adaptive proportional fair parameterization based LTE scheduling using continuous actor-critic reinforcement learning. GLOBECOM 2014: 4387-4393 - [c20]Ioan Sorin Comsa, Mehmet Aydin, Sijing Zhang, Pierre Kuonen, Jean-Frédéric Wagen, Yao Lu:
Scheduling policies based on dynamic throughput and fairness tradeoff control in LTE-A networks. LCN 2014: 418-421 - 2013
- [j15]Ercan Senyigit, Muharrem Dügenci, Mehmet Emin Aydin
Heuristic-based neural networks for stochastic dynamic lot sizing problem. Appl. Soft Comput. 13(3): 1332-1339 (2013) - [j14]Mehmet Emin Aydin
A hybrid swarm intelligence algorithm for multiuser scheduling in HSDPA. Appl. Soft Comput. 13(5): 2990-2996 (2013) - [j13]Mehmet Emin Aydin
Multiuser scheduling on the LTE downlink with meta-heuristic approaches. Phys. Commun. 9: 257-265 (2013) - [c19]Mehmet Emin Aydin, Ghazanfar Ali Safdar, Nauman Aslam:
A Novel Learning-Based Spectrum Sensing Technique for Cognitive Radio Networks. AINA Workshops 2013: 505-510 - [c18]Emin Ogur, Mehmet Emin Aydin:
Refining scheduling policies with genetic algorithms. GECCO (Companion) 2013: 1513-1518 - [i2]Mehmet Emin Aydin, Osman Taylan:
Scheduling Cutting Process for Large Paper Rolls. CoRR abs/1304.2015 (2013) - [i1]Mehmet Emin Aydin:
Coordinating metaheuristic agents with swarm intelligence. CoRR abs/1304.4051 (2013) - 2012
- [j12]Ioan Sorin Comsa, Mehmet Aydin, Sijing Zhang, Pierre Kuonen, Jean-Frédéric Wagen:
Multi Objective Resource Scheduling in LTE Networks Using Reinforcement Learning. Int. J. Distributed Syst. Technol. 3(2): 39-57 (2012) - [j11]Mehmet Emin Aydin
Coordinating metaheuristic agents with swarm intelligence. J. Intell. Manuf. 23(4): 991-999 (2012) - [c17]Ioan Sorin Comsa, Sijing Zhang, Mehmet Aydin, Pierre Kuonen, Jean-Frédéric Wagen:
A novel dynamic Q-learning-based scheduler technique for LTE-advanced technologies using neural networks. LCN 2012: 332-335 - 2011
- [c16]Mehmet Emin Aydin
Scanning Environments with Swarms of Learning Birds: A Computational Intelligence Approach for Managing Disasters. AINA 2011: 332-339 - [c15]Ioan Sorin Comsa, Mehmet Aydin, Sijing Zhang, Pierre Kuonen, Jean-Frédéric Wagen:
Reinforcement learning based radio resource scheduling in LTE-advanced. ICAC 2011: 219-224 - [c14]Mehmet Emin Aydin
Multiuser Scheduling on the LTE Downlink with Simulated Annealing. VTC Spring 2011: 1-5 - [p2]Nik Bessis
Utilizing Next Generation Emerging Technologies for Enabling Collective Computational Intelligence in Disaster Management. Next Generation Data Technologies for Collective Computational Intelligence 2011: 503-526 - 2010
- [j10]Kit Yan Chan, C. K. Kwong
A new orthogonal array based crossover, with analysis of gene interactions, for evolutionary algorithms and its application to car door design. Expert Syst. Appl. 37(5): 3853-3862 (2010) - [c13]Mehmet Emin Aydin, Joyce Y. Wu, Liang Zhang:
Swarms of Metaheuristic Agents: A Model for Collective intelligence. 3PGCIC 2010: 296-301 - [c12]Mehmet Emin Aydin
Collaboration of heterogenous metaheuristic agents. ICDIM 2010: 540-545
2000 – 2009
- 2009
- [j9]Raymond Kwan, Mehmet Emin Aydin
Multiuser scheduling in high speed downlink packet access. IET Commun. 3(8): 1363-1370 (2009) - [c11]Mehmet Emin Aydin
Multiuser Scheduling in HSDPA with Particle Swarm Optimization. EvoWorkshops 2009: 71-80 - 2008
- [j8]Kit Yan Chan, Terence C. Fogarty, Mehmet Emin Aydin
Genetic Algorithms with Dynamic Mutation Rates and their Industrial Applications. Int. J. Comput. Intell. Appl. 7(2): 103-128 (2008) - [c10]Mehmet Emin Aydin
A Particle Swarm Optimization Algorithm for Multiuser Scheduling in HSDPA. ANTS Conference 2008: 395-396 - [p1]Mehmet Emin Aydin
Sequential and Parallel Variable Neighborhood Search Algorithms for Job Shop Scheduling. Metaheuristics for Scheduling in Industrial and Manufacturing Applications 2008: 125-144 - 2007
- [j7]Jun Yang, Mehmet Emin Aydin
UMTS base station location planning: a mathematical model and heuristic optimisation algorithms. IET Commun. 1(5): 1007-1014 (2007) - [c9]Mehmet Emin Aydin, Jun Yang, Jie Zhang
A Comparative Investigation on Heuristic Optimization of WCDMA Radio Networks. EvoWorkshops 2007: 111-120 - [c8]Mehmet Emin Aydin:
Metaheuristic Agent Teams for Job Shop Scheduling Problems. HoloMAS 2007: 185-194 - [c7]Jun Yang, Jie Zhang
A Novel Programming Model and Optimisation Algorithms for WCDMA Networks. VTC Spring 2007: 1182-1187 - 2006
- [j6]Mehmet Sevkli, Mehmet Emin Aydin
Variable Neighbourhood Search for Job Shop Scheduling Problems. J. Softw. 1(2): 34-39 (2006) - [j5]Kit Yan Chan, Mehmet Emin Aydin
Main Effect Fine-tuning of the Mutation Operator and the Neighbourhood Function for Uncapacitated Facility Location Problems. Soft Comput. 10(11): 1075-1090 (2006) - [c6]Mehmet Sevkli, Mehmet Emin Aydin
A Variable Neighbourhood Search Algorithm for Job Shop Scheduling Problems. EvoCOP 2006: 261-271 - 2004
- [j4]Mehmet Emin Aydin
A Distributed Evolutionary Simulated Annealing Algorithm for Combinatorial Optimisation Problems. J. Heuristics 10(3): 269-292 (2004) - [j3]Mehmet Emin Aydin, Terence C. Fogarty:
Teams of autonomous agents for job-shop scheduling problems: An experimental study. J. Intell. Manuf. 15(4): 455-462 (2004) - [j2]Mehmet Emin Aydin, Terence C. Fogarty:
A simulated annealing algorithm for multi-agent systems: a job-shop scheduling application. J. Intell. Manuf. 15(6): 805-814 (2004) - [c5]Kit Yan Chan, Mehmet Emin Aydin, Terence C. Fogarty:
An empirical study on the performance of factorial design based crossover on parametrical problems. IEEE Congress on Evolutionary Computation 2004: 620-627 - [c4]Kit Yan Chan, Mehmet Emin Aydin, Terry C. Fogarty:
Parameterisation of mutation in evolutionary algorithms using the estimated main effect of genes. IEEE Congress on Evolutionary Computation 2004: 1972-1979 - 2003
- [c3]Kit Yan Chan, Mehmet Emin Aydin, Terence C. Fogarty:
An epistasis measure based on the analysis of variance for the real-coded representation in genetic algorithms. IEEE Congress on Evolutionary Computation 2003: 297-304 - [c2]Kit Yan Chan, Mehmet Emin Aydin, Terence C. Fogarty:
A Taguchi method-based crossover operator for the parametrical problems. IEEE Congress on Evolutionary Computation 2003: 971-977 - [c1]Kit Yan Chan, Mehmet Emin Aydin, Terence C. Fogarty:
New Factorial Design Theoretic Crossover Operator for Parametrical Problem. EuroGP 2003: 22-33 - 2000
- [j1]Mehmet Emin Aydin
Dynamic job-shop scheduling using reinforcement learning agents. Robotics Auton. Syst. 33(2-3): 169-178 (2000)
Coauthor Index
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