Prof. MEHMET EMİN AYDIN

MSMB Dergi , no.3, pp.58-63, 2023 (Non Peer-Reviewed Journal)

10. Adoption of Business Model Canvas in Exploring Digital Business Transformation

Sabri M., Al-Qawasmi K., Odeh M., Aydin M. E.

Information Sciences Letters , vol.12, no.2, pp.845-854, 2023 (Scopus)

11. Error-Type - A Novel Set of Software Metrics for Software Fault Prediction

Phung K., Ogunshile E., Aydin M. E.

IEEE Access , vol.11, pp.30562-30574, 2023 (SCI-Expanded, Scopus)

12. A Strategy-Based Algorithm for Moving Targets in an Environment with Multiple Agents

Afzalov A., Lotfi A., Inden B., Aydin M. E.

SN Computer Science , vol.3, no.6, 2022 (Scopus)

13. Transfer Learning for Operator Selection: A Reinforcement Learning Approach

Durgut R., Aydin M. E., Rakib A.

Algorithms , vol.15, no.1, 2022 (ESCI, Scopus)

14. Yapay sürü zekâsı ve öğrenen sürüler

Tuysuz M. F., Aydin M. E.

MSMB Dergi , no.1, pp.56-61, 2022 (Non Peer-Reviewed Journal)

15. Yapay zekâ destekli salgın yönetimi

Aydın M. E., Sabuncu I.

MSMB Dergi , no.1, pp.44-49, 2022 (Non Peer-Reviewed Journal)

16. Modelling Interrelationship between Diseases with Communicating Stream X-Machines

Jayatilake D., Phung K., Ogunshile E., Aydın M. E.

Proceedings of the Institute for System Programming of the RAS , vol.1, pp.61-68, 2022 (Conference Book)

17. A Stream X-Machine Tool for Modelling and Generating Test Cases for Chronic Diseases Based on State-Counting Approach

Phung K., Jayatilake D., Ogunshile E., Aydin M. E.

Programming and Computer Software , vol.47, no.8, pp.765-777, 2021 (SCI-Expanded, Scopus)

18. Adaptive operator selection with reinforcement learning

Durgut R., Aydin M. E., Atli I.

Information Sciences , vol.581, pp.773-790, 2021 (SCI-Expanded, Scopus)

19. Digital transformation: Industry 4.0 for future minds and future society

Uygun Ö., Aydin M. E.

Computers and Industrial Engineering , vol.157, 2021 (SCI-Expanded, Scopus)

20. Smartness and Strategic Priority Assessment in Transition to Mobility 4.0 for Smart Cities

İNAÇ H., Oztemel E., Aydin M. E.

Zeki sistemler teori ve uygulamaları dergisi (Online) , vol.4, no.2, pp.113-126, 2021 (TRDizin)

21. Solving Set Union Knapsack Problems with Adaptive Binary Artificial Bee Colony

Durgut R., Yavuz İ. B., Aydin M. E.

Zeki sistemler teori ve uygulamaları dergisi (Online) , vol.4, no.1, pp.43-54, 2021 (TRDizin)

22. Adaptive binary artificial bee colony algorithm

Durgut R., Aydin M. E.

Applied Soft Computing , vol.101, 2021 (SCI-Expanded, Scopus)

23. Max-gain relay selection scheme for wireless networks

Ullah S., Malik M. H., Tuysuz M. F., Hasnain M., Aydin M. E.

Engineering Science and Technology, an International Journal , vol.24, no.1, pp.183-191, 2021 (SCI-Expanded, Scopus)

24. A multi agent-based approach for energy efficient water resource management

Aydin M. E., Keleş R.

Computers and Industrial Engineering , vol.151, 2021 (SCI-Expanded, Scopus)

25. Elicitation of the factors affecting electricity distribution efficiency using the fuzzy ahp method

YİĞİT V., Demir N. N., Alidrisi H., Aydin M. E.

Mathematics , vol.9, no.1, pp.1-25, 2021 (SCI-Expanded, Scopus)

26. Adaptive binary artificial bee colony for multi-dimensional knapsack problem Çok boyutlu sırt çantası problemi için adaptif ikili yapay arı kolonisi algoritması (AİYAK)

Durgut R., Aydın M. E.

Journal of the Faculty of Engineering and Architecture of Gazi University , vol.36, no.4, pp.2333-2348, 2021 (SCI-Expanded, Scopus, TRDizin)

27. QoE-Based Mobility-Aware Collaborative Video Streaming on the Edge of 5G

IEEE Transactions on Industrial Informatics , vol.16, no.11, pp.7115-7125, 2020 (SCI-Expanded, Scopus)

28. A honeybees-inspired heuristic algorithm for numerical optimisation

Düğenci M., Aydin M. E.

Neural Computing and Applications , vol.32, no.16, pp.12311-12325, 2020 (SCI-Expanded, Scopus)

29. Threats on the horizon: understanding security threats in the era of cyber-physical systems

Walker-Roberts S., Hammoudeh M., Aldabbas O., Aydin M. E., Dehghantanha A.

Journal of Supercomputing , vol.76, no.4, pp.2643-2664, 2020 (SCI-Expanded, Scopus)

30. An analytical framework for high-speed hardware particle swarm optimization

Damaj I., Elshafei M., El-Abd M., Aydin M. E.

Microprocessors and Microsystems , vol.72, 2020 (SCI-Expanded, Scopus)

31. Feature Selection with Artificial Bee Colony Algorithms for Classifying Parkinson's Diseases

Durgut R., Baydilli Y. Y., Aydın M. E.

Proceedings of the EANN (Engineering Applications of Neural Networks) Conference , vol.2, pp.338-351, 2020 (Conference Book)

32. A comparison of reinforcement learning algorithms in fairness-oriented OFDMA schedulers

Comşa I., Zhang S., Aydin M. E., Kuonen P., Trestian R., Ghinea G.

Information (Switzerland) , vol.10, no.10, 2019 (Scopus)

33. Monitoring the performance of petrochemical organizations in Saudi Arabia using data envelopment analysis

Alidrisi H., Aydin M. E., Bafail A. O., Abdulal R., Karuvatt S. A.

Mathematics , vol.7, no.6, 2019 (SCI-Expanded, Scopus)

34. Zeki etmen takımları ve öğrenen sürüler”,

Ayhan M. B., Aydin M. E., ÖZTEMEL E.

Mimar ve Muhendis , no.106, pp.44-49, 2019 (Non Peer-Reviewed Journal)

35. Towards 5G: A Reinforcement Learning-Based Scheduling Solution for Data Traffic Management

Comsa I., Zhang S., Aydin M. E., Kuonen P., Lu Y., Trestian R., et al.

IEEE Transactions on Network and Service Management , vol.15, no.4, pp.1661-1675, 2018 (SCI-Expanded, Scopus)

36. Editorial Message: Special Issue on Efficient Fuzzy Systems for Mining Large Scale, Imprecise, Uncertain and Vague Data

Chan K. Y., Aydin M. E., Seker H., Palade V., Hong T.

International Journal of Fuzzy Systems , vol.20, no.4, pp.1203-1204, 2018 (SCI-Expanded, Scopus)

37. A multi-agent based approach for change management in manufacturing enterprises

Journal of Intelligent Manufacturing , vol.26, no.5, pp.975-988, 2015 (SCI-Expanded, Scopus)

38. Creep modelling of polypropylenes using artificial neural networks trained with Bee algorithms

Düʇenci M., Aydemir A., Esen I., Aydin M. E.

Engineering Applications of Artificial Intelligence , vol.45, pp.71-79, 2015 (SCI-Expanded, Scopus)

39. A quantitative approach for measuring process innovation: A case study in a manufacturing company

Ayhan M. B., ÖZTEMEL E., Aydin M. E., Yue Y.

International Journal of Production Research , vol.51, no.11, pp.3463-3475, 2013 (SCI-Expanded, Scopus)

40. Use of Java RMI on Mobile Devices for Peer to Peer Computing

Eke C. I., Ezugwu A. E., Nweke H. F., Aydın M. E.

Network and Complex Systems , vol.3, no.5, pp.1-10, 2013 (Peer-Reviewed Journal)

41. Scheduling Cutting Process for Large Paper Rolls

Aydin M. E., Taylan O.

ACADEMIC PLATFORM-JOURNAL OF ENGINEERING AND SCIENCE , vol.1, no.1, pp.1-6, 2013 (Peer-Reviewed Journal)

42. Scheduling Cutting Process for Large Paper Rolls

Aydın M. E., Taylan O.

arXiv preprint arXiv:1304.2015 , vol.1, pp.1-15, 2013 (Non Peer-Reviewed Journal)

43. A hybrid swarm intelligence algorithm for multiuser scheduling in HSDPA

Aydin M. E., Kwan R., Leung C., Maple C., Zhang J.

Applied Soft Computing Journal , vol.13, no.5, pp.2990-2996, 2013 (SCI-Expanded, Scopus)

44. Heuristic-based neural networks for stochastic dynamic lot sizing problem

Şenyiǧgit E., Düǧenci M., Aydin M. E., Zeydan M.

Applied Soft Computing Journal , vol.13, no.3, pp.1332-1339, 2013 (SCI-Expanded, Scopus)

45. Agentification of individuals: A multi-agent approach to metaheuristics

Journal of Computer Science and Systems Biology , vol.6, no.5, pp.1-4, 2013 (Peer-Reviewed Journal)

46. Multiuser scheduling on the LTE downlink with meta-heuristic approaches

Aydin M. E., Kwan R., Wu J.

Physical Communication , vol.9, pp.257-265, 2013 (Scopus)

47. Coordinating metaheuristic agents with swarm intelligence

Journal of Intelligent Manufacturing , vol.23, no.4, pp.991-999, 2012 (SCI-Expanded, Scopus)

48. Multi objective resource scheduling in LTE networks using reinforcement learning

Comşa I. S., Aydin M. E., Zhang S., Kuonen P., Wagen J.

International Journal of Distributed Systems and Technologies , vol.3, no.2, pp.39-57, 2012 (Scopus)

49. Utilizing next generation emerging technologies for enabling collective computational intelligence in disaster management

Bessis N., Assimakopoulou E., Aydin M. E., Xhafa F.

Studies in Computational Intelligence , vol.352, pp.503-526, 2011 (Scopus)

50. Reinforcement learning based radio resource scheduling in LTE-advanced

Aydın M. E., Comsa I. S., Zhang S.

Proceedings of 2011 17th International Conference on Automation and Computing, ICAC 2011 , vol.1, pp.219-224, 2011 (Conference Book)

51. A new orthogonal array based crossover, with analysis of gene interactions, for evolutionary algorithms and its application to car door design

Chan K., Kwong C., Jiang H., Aydin M. E., Fogarty T.

Expert Systems with Applications , vol.37, no.5, pp.3853-3862, 2010 (SCI-Expanded, Scopus)

52. Multiuser scheduling in high speed downlink packet access

Kwan R., Aydin M. E., Leung C., Zhang J.

IET Communications , vol.3, no.8, pp.1363-1370, 2009 (SCI-Expanded, Scopus)

53. A statistics-based genetic algorithm for quality improvements of power supplies

Chan K., Chan K., Pong G. T., Aydin M. E., Fogarty T., Ling S.

European Journal of Industrial Engineering , vol.3, no.4, pp.468-492, 2009 (SCI-Expanded, Scopus)

54. An exploration of the literature on the use of 'swarm intelligence-based techniques' for public service problems

Dereli T., Seçkiner S. U., Daş G. S., GÖKÇEN H., Aydin M. E.

European Journal of Industrial Engineering , vol.3, no.4, pp.379-423, 2009 (SCI-Expanded, Scopus)

55. Genetic algorithms with dynamic mutation rates and their industrial applications

Chan K., Fogarty T., Aydin M. E., Ling S., Iu H.

International Journal of Computational Intelligence and Applications , vol.7, no.2, pp.103-128, 2008 (Scopus)

56. Sequential and parallel variable neighborhood search algorithms for job shop scheduling

Aydin M. E., Sevkli M.

Studies in Computational Intelligence , vol.128, pp.125-144, 2008 (Scopus)

57. UMTS base station location planning: A mathematical model and heuristic optimisation algorithms

Yang J., Aydin M. E., Zhang J., Maple C.

IET Communications , vol.1, no.5, pp.1007-1014, 2007 (SCI-Expanded, Scopus)

58. Parallel variable neighbourhood search algorithms for job shop scheduling problems

Sevkli M., Aydin M. E.

IMA Journal of Management Mathematics , vol.18, no.2, pp.117-133, 2007 (Scopus)

59. A comparative investigation on heuristic optimization of WCDMA radio networks

Aydın M. E., Yang J., Zhang J.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , vol.4448 LNCS, pp.111-120, 2007 (Conference Book)

60. Metaheuristic agent teams for job shop scheduling problems

Chan K. Y., Aydin M. E., Fogarty T. C.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , vol.1, pp.185-194, 2007 (Conference Book)

61. Optimisation of WCDMA radio networks with consideration of link-level performance factors

Yang J., Zhang J., Aydin M. E., Wu J. Y.

International Journal of Mobile Network Design and Innovation , vol.2, no.1, pp.26-32, 2007 (Scopus)

62. An orthogonal array based genetic algorithm for developing neural network based process models of fluid dispensing

Kwong C., Chan K., Aydin M. E., Fogarty T.

International Journal of Production Research , vol.44, no.22, pp.4815-4836, 2006 (SCI-Expanded, Scopus)

63. Solving large-scale uncapacitated facility location problems with evolutionary simulated annealing

YİĞİT V., Aydin M. E., Turkbey O.

International Journal of Production Research , vol.44, no.22, pp.4773-4791, 2006 (SCI-Expanded, Scopus)

64. Main effect fine-tuning of the mutation operator and the neighbourhood function for uncapacitated facility location problems

Soft Computing , vol.10, no.11, pp.1075-1090, 2006 (SCI-Expanded, Scopus)

65. Variable neighbourhood search for job shop scheduling problems

Sevkli M., Aydin M. E.

Journal of Software , vol.1, no.2, pp.34-39, 2006 (Scopus)

66. A simulated annealing algorithm for multi-agent systems: A job-shop scheduling application

Aydin M. E., Fogarty T. C.

Journal of Intelligent Manufacturing , vol.15, no.6, pp.805-814, 2004 (SCI-Expanded, Scopus)

67. Teams of autonomous agents for job-shop scheduling problems: An experimental study

Aydin M. E., Fogarty T. C.

Journal of Intelligent Manufacturing , vol.15, no.4, pp.455-462, 2004 (SCI-Expanded, Scopus)

68. A distributed evolutionary simulated annealing algorithm for combinatorial optimisation problems

Aydin M. E., Fogarty T. C.

Journal of Heuristics , vol.10, no.3, pp.269-292, 2004 (SCI-Expanded, Scopus)

69. An empirical study on the performance of factorial design based crossover on parametrical problems

Chan K., Aydın M. E., Fogarty T.

Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004 , vol.1, pp.620-627, 2004 (Conference Book)

70. Parameterisation of mutation in evolutionary algorithms using the estimated main effect of genes

Chan K., Aydın M. E., Fogarty T.

Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004 , vol.2, pp.1972-1979, 2004 (Conference Book)

71. New factorial design theoretic crossover operator for parametrical problem

Chan K., Aydın M. E., Fogarty T.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , vol.2610, pp.22-33, 2003 (Scopus)

72. Dynamic job-shop scheduling using reinforcement learning agents

Aydin M. E., ÖZTEMEL E.

Robotics and Autonomous Systems , vol.33, no.2, pp.169-178, 2000 (SCI-Expanded, Scopus)

73. Learning in intelligent agents: Q-I algorithm

New Trends in Artificial Intelligence and Neural Networks, EMO, Ankara , vol.1, pp.200-206, 1997 (Conference Book)

74. Neural network based experimental design method and an industrial application Yapay sinir aǧlarina dayali deneysel tasarim metodu ve bir endüstriyel uygulama

ÖZTEMEL E., Aydin M. E.

Turkish Journal of Engineering and Environmental Sciences , vol.20, no.2, pp.73-78, 1996 (Scopus, TRDizin)

75. Taguchi deneysel tasarım metodu ve segman sanayiinde bir uygulama

TSE Standard Teknik Dergi , no.394, pp.102-109, 1994 (Non Peer-Reviewed Journal)

Papers Presented at Peer-Reviewed Scientific Conferences 50

1. An exploration for higher efficiency in multi objective optimisation with reinforcement learning

Bayraktar T., AYDIN M. E., Dugenci M.

13th International Symposium on Intelligent Manufacturing and Service Systems, Düzce, Turkey, 25 - 27 September 2025, vol.1, pp.590-599, (Full Text)

2. Leveraging Deep Learning for Enhanced Software Fault Prediction Using Error-Type Metrics

Phung K., Ogunshile E., AYDIN M. E.

17th International Symposium on Intelligent Distributed Computing, IDC 2024, Brighton, England, 18 - 19 September 2024, vol.1203 SCI, pp.167-179, (Full Text)

3. Assuring Correctness, Testing, and Verification of X-Compiler by Integrating Communicating Stream X-Machine

Sanusi B., Ogunshile E., Aydin M. E., Olabiyisi S.

6th International Conference on Software Engineering and Development, ICSED 2024, Virtual, Online, China, 29 - 31 May 2024, pp.64-72, (Full Text)

4. The Effect of Parameters on the Success of Heuristic Algorithms in Personalized Personnel Scheduling

Gülmez E., URGANCI K. B., KORUCA H. İ., AYDIN M. E.

12th International Symposium on Intelligent Manufacturing and Service Systems, IMSS 2023, İstanbul, Turkey, 26 - 28 May 2023, pp.600-611, (Full Text)

5. Analysing the Predictivity of Features to Characterise the Search Space

Durgut R., Aydin M. E., Ihshaish H., Rakib A.

31st International Conference on Artificial Neural Networks, ICANN 2022, Bristol, England, 6 - 09 September 2022, vol.13532 LNCS, pp.1-13, (Full Text)

6. A comparative analysis for binary search operators used in artificial bee colony Yapay ari kolonisi için ikili arama operatörlerinin performans analizi

Atli I., Durgut R., AYDIN M. E.

29th IEEE Conference on Signal Processing and Communications Applications, SIU 2021, Virtual, Istanbul, Turkey, 9 - 11 June 2021, (Full Text)

7. A Novel Software Fault Prediction Approach to Predict Error-type Proneness in the Java Programs Using Stream X-Machine and Machine Learning

Phung K., Ogunshile E., AYDIN M. E.

9th International Conference in Software Engineering Research and Innovation, CONISOFT 2021, California, United States Of America, 25 - 29 October 2021, pp.168-179, (Full Text)

8. Reinforcement Learning-Based Adaptive Operator Selection

Durgut R., Aydin M. E.

4th International Conference on Optimization and Learning, OLA 2021, Virtual, Online, 21 - 23 June 2021, vol.1443, pp.29-41, (Full Text)

9. Multiple Pursuers TrailMax Algorithm for Dynamic Environments

Afzalov A., Lotfi A., Inden B., Aydın M. E.

International Conference on Agents and Artificial Intelligence (ICAART), Barcelona, Spain, 4 - 06 February 2021, vol.1, pp.437-443, (Full Text)

10. A Strategic Search Algorithm in Multi-agent and Multiple Target Environment

Afzalov A., Lotfi A., AYDIN M. E.

8th International Conference on Robot Intelligence Technology and Applications, RiTA 2020, Virtual, Online, 11 - 13 December 2020, pp.195-204, (Full Text)

11. Multi-Agent Path Planning Approach Using Assignment Strategy Variations in Pursuit of Moving Targets

Afzalov A., He J., Lotfi A., AYDIN M. E.

15th International KES Conference on Agent and Multi-Agent Systems-Technologies and Applications, KES-AMSTA 2021, Virtual, Online, 14 - 16 June 2021, vol.241, pp.451-463, (Full Text)

12. Modelling Diseases with Stream X-Machine

Jayatilake S., Ogunshile E., AYDIN M. E., Phung K.

9th International Conference in Software Engineering Research and Innovation, CONISOFT 2021, California, United States Of America, 25 - 29 October 2021, pp.61-68, (Full Text)

13. Enhancing User Fairness in OFDMA Radio Access Networks Through Machine Learning

Comsa I., Zhang S., Aydin M. E., Kuonen P., Trestian R., Ghinea G.

2019 Wireless Days, WD 2019, Manchester, England, 24 - 26 April 2019, vol.2019-April, (Full Text)

14. An Agent-Based Approach for Strategic Alignment in Enterprise Systems: A Cancer Care Case

Aydin M. E., ÖZTEMEL E., Nashawati D., Odeh M., Mansour A.

1st International Conference on Cancer Care Informatics, CCI 2018, Amman, Jordan, 19 - 21 November 2018, pp.25-31, (Full Text)

15. An adaptive opportunistic routing scheme for reliable data delivery in WSNs

Hasnain M., Malik M. H., Aydin M. E.

2nd International Conference on Future Networks and Distributed Systems, ICFNDS 2018, Amman, Jordan, 26 - 27 June 2018, (Full Text)

16. Building collaboration in multi-agent systems using reinforcement learning

Aydin M. E., Fellows R.

10th International Conference on Computational Collective Intelligence, ICCCI 2018, Bristol, England, 5 - 07 September 2018, vol.11056 LNAI, pp.201-212, (Full Text)

17. Selecting Display Products for Furniture Stores Using Fuzzy Multi-criteria Decision Making Techniques

Uygun Ö., Güven İ., Şimşir F., AYDIN M. E.

19th International Conference on Engineering Applications of Neural Networks, EANN 2018, Bristol, England, 3 - 05 September 2018, vol.893, pp.181-193, (Full Text)

18. Managing Congestion in Vehicular Networks Using Tabu Search

Ishaq M., Malik M. H., AYDIN M. E.

19th International Conference on Engineering Applications of Neural Networks, EANN 2018, Bristol, England, 3 - 05 September 2018, vol.893, pp.118-129, (Full Text)

19. Diversifying search in bee algorithms for numerical optimisation

Düg̃enci M., Aydin M. E.

10th International Conference on Computational Collective Intelligence, ICCCI 2018, Bristol, England, 5 - 07 September 2018, vol.11056 LNAI, pp.132-144, (Full Text)

20. A parametric study for congestion control in queuing networks

Malik M. H., Majeed A., Aydin M. E., Malik M. H.

2017 International Conference on Future Networks and Distributed Systems, ICFNDS 2017, Cambridge, England, 19 - 20 July 2017, vol.Part F130522, (Full Text)

21. Cognitive access point to handle delay sensitive traffic in WLANs

Malik M. H., Aydin M. E., Awais Q.

2015 IEEE International Conference on Computational Intelligence and Communication Technology, CICT 2015, Ghaziabad, India, 13 - 14 February 2015, pp.317-322, (Full Text)

22. Stochastic model of TCP and UDP traffic in IEEE 802.11b/g

Malik M. H., AYDIN M. E., Shah Z., Hussain S.

9th IEEE Conference on Industrial Electronics and Applications, ICIEA 2014, Hangzhou, China, 9 - 11 June 2014, pp.2170-2175, (Full Text)

23. Scheduling policies based on dynamic throughput and fairness tradeoff control in LTE-A networks

Comsa I. S., Aydın M. E., Zhang S., Kuonen P., Wagen J., Lu Y.

Local Computer Networks (LCN), 2014 IEEE 39th Conference on, Edmonton, Canada, 8 - 11 September 2014, vol.1, pp.418-421, (Full Text)

24. A memory-integrated artificial bee algorithm for 1-D bin packing problems

Joint International Symposium on "The Social Impacts of Developments in Information, Manufacturing and Service Systems" 44th International Conference on Computers and Industrial Engineering, CIE 2014 and 9th International Symposium on Intelligent Manufacturing and Service Systems, IMSS 2014, İstanbul, Turkey, 14 - 16 October 2014, pp.1023-1034, (Full Text)

25. Adaptive proportional fair parameterization based LTE scheduling using continuous actor-critic reinforcement learning

Comsa I. S., Zhang S., AYDIN M. E., Chen J., Kuonen P., Wagen J.

2014 IEEE Global Communications Conference, GLOBECOM 2014, Texas, United States Of America, 8 - 12 December 2014, pp.4387-4393, (Full Text)

26. Refining scheduling policies with genetic algorithms

Ogur E., Aydın M. E.

Proceedings of the 15th annual conference companion on Genetic and evolutionary computation, Amsterdam, Netherlands, 6 - 10 July 2013, vol.2, pp.1513-1518, (Full Text)

27. A novel learning-based spectrum sensing technique for cognitive radio networks

Aydın M. E., Safdar G. A., Aslam N.

Advanced Information Networking and Applications Workshops (WAINA), 2013 27th International Conference on, Barcelona, Spain, 25 - 28 March 2013, vol.1, pp.505-510, (Full Text)

28. A novel dynamic Q-learning-based scheduler technique for LTE-advanced technologies using neural networks

Comsa I. S., Zhang S., Aydın M. E., Kuonen P., Wagen J.

Local Computer Networks (LCN), 2012 IEEE 37th Conference on, Florida, United States Of America, 22 - 25 October 2012, vol.1, pp.332-335, (Full Text)

29. Policy Refinement with Genetic Algorithms for Job Shop Scheduling

Ogur E., Aydın M. E., Ayhan M. B.

Proc. of 8th International Symposium on Intelligent and Manufacturing Systems, 27-28 September 2012, Adrasan/Antalya/Turkey, Antalya, Turkey, 27 - 28 September 2012, vol.1, pp.10-22, (Full Text)

30. Collective intelligence for monitoring innovation and change in manufacturing industry

Ayhan M., AYDIN M. E., ÖZTEMEL E.

2012 World Congress on Engineering, WCE 2012, London, England, 4 - 06 July 2012, vol.3, pp.1395-1400, (Full Text)

31. A genetic algorithm approach for multiuser scheduling on the LTE downlink

AYDIN M. E., Kwan R., Ding W., Wu J.

2012 World Congress on Engineering, WCE 2012, London, England, 4 - 06 July 2012, vol.2198, pp.1252-1257, (Full Text)

32. Reinforcement learning based radio resource scheduling in LTE-advanced

Comsa I. S., AYDIN M. E., Zhang S., Kuonen P., Wagen J.

2011 17th International Conference on Automation and Computing, ICAC 2011, Huddersfield, England, 10 September 2011, pp.219-224, (Full Text)

33. Multiuser scheduling on the LTE downlink with simulated annealing

Aydin M. E., Kwan R., Wu J., Zhang J.

2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring, Budapest, Hungary, 15 - 18 May 2011, (Full Text)

34. Scanning environments with swarms of learning birds: A computational intelligence approach for managing disasters

Aydin M. E., Bessis N., Asimakopoulou E., Xhafa F., Wu J.

25th IEEE International Conference on Advanced Information Networking and Applications, AINA 2011, Biopolis, Singapore, 22 - 25 March 2011, pp.332-339, (Full Text)

35. Collaboration of heterogenous metaheuristic agents

2010 5th International Conference on Digital Information Management, ICDIM 2010, Thunder-Bay, Canada, 5 - 08 July 2010, pp.540-545, (Full Text)

36. Swarms of metaheuristic agents: A model for collective intelligence

Aydın M. E., Wu J., Zhang L.

P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), 2010 International Conference on, Fukuoka, Japan, 4 - 06 November 2010, vol.1, pp.296-301, (Full Text)

37. Multiuser scheduling in HSDPA with particle swarm optimization

Aydin M. E., Kwan R., Leung C., Zhang J.

Applications of Evolutionary Computing, EvoWorkshops 2009: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG, Tubingen, Germany, 15 - 17 April 2009, vol.5484 LNCS, pp.71-80, (Full Text)

38. A particle swarm optimization algorithm for multiuser scheduling in HSDPA

Aydin M. E., Kwan R., Leung C., Zhang J.

6th International Conference on Ant Colony Optimization and Swarm Intelligence, ANTS 2008, Brussels, Belgium, 22 - 24 September 2008, vol.5217 LNCS, pp.395-396, (Full Text)

39. Multiuser scheduling in HSDPA using simulated annealing

Kwan R., Aydin M. E., Leung C., Zhang J.

International Wireless Communications and Mobile Computing Conference, IWCMC 2008, Crete, Greece, 6 - 08 August 2008, pp.236-241, (Full Text)

40. A study on programming model and heuristic optimization algorithms for WCDMA radio networks

Jie Z., Jun Y., Aydin M. E.

1st International Conference on Communications and Networking in China, ChinaCom '06, Beijing, China, 25 - 27 October 2006, (Full Text)

41. A novel programming model and optimisation algorithms for WCDMA networks

Yang J., Zhang J., Aydin M. E., Wu J. Y.

2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring, Dublin, Ireland, 22 - 25 April 2007, pp.1182-1187, (Full Text)

42. A comparative investigation on heuristic optimization of WCDMA radio networks

AYDIN M. E., Yang J., Zhang J.

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