Mehmet Emin Aydin

Orcid: 0000-0002-4890-5648

Affiliations:
  • University of the West of England, Department of Computer Science and Creative Technologies, Bristol, UK
  • University of Bedfordshire, Department of Computing and Information Systems, Luton, UK
  • London South Bank University, Faculty of Business, Computing and Information Management, UK


According to our database1, Mehmet Emin Aydin authored at least 76 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Why Reinforcement Learning?
Algorithms, June, 2024

Feature-based search space characterisation for data-driven adaptive operator selection.
Evol. Syst., February, 2024

Heuristic and swarm intelligence algorithms for work-life balance problem.
Comput. Ind. Eng., January, 2024

Adaptive operator selection utilising generalised experience.
CoRR, 2024

2023
Error-Type - A Novel Set of Software Metrics for Software Fault Prediction.
IEEE Access, 2023

2022
A Strategy-Based Algorithm for Moving Targets in an Environment with Multiple Agents.
SN Comput. Sci., 2022

Transfer Learning for Operator Selection: A Reinforcement Learning Approach.
Algorithms, 2022

Analysing the Predictivity of Features to Characterise the Search Space.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021
A Stream X-Machine Tool for Modelling and Generating Test Cases for Chronic Diseases Based on State-Counting Approach.
Program. Comput. Softw., 2021

Adaptive operator selection with reinforcement learning.
Inf. Sci., 2021

Digital transformation: Industry 4.0 for future minds and future society.
Comput. Ind. Eng., 2021

A multi agent-based approach for energy efficient water resource management.
Comput. Ind. Eng., 2021

Adaptive binary artificial bee colony algorithm.
Appl. Soft Comput., 2021

A Comparative Analysis for Binary Search Operators used in Artificial Bee Colony.
Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021

Reinforcement Learning-Based Adaptive Operator Selection.
Proceedings of the Optimization and Learning - 4th International Conference, 2021

Multi-Agent Path Planning Approach Using Assignment Strategy Variations in Pursuit of Moving Targets.
Proceedings of the Agents and Multi-Agent Systems: Technologies and Applications 2021, 2021

Multiple Pursuers TrailMax Algorithm for Dynamic Environments.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2020
Threats on the horizon: understanding security threats in the era of cyber-physical systems.
J. Supercomput., 2020

QoE-Based Mobility-Aware Collaborative Video Streaming on the Edge of 5G.
IEEE Trans. Ind. Informatics, 2020

A honeybees-inspired heuristic algorithm for numerical optimisation.
Neural Comput. Appl., 2020

An analytical framework for high-speed hardware particle swarm optimization.
Microprocess. Microsystems, 2020

Feature Selection with Artificial Bee Colony Algorithms for Classifying Parkinson's Diseases.
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020

2019
A Comparison of Reinforcement Learning Algorithms in Fairness-Oriented OFDMA Schedulers.
Inf., 2019

Enhancing User Fairness in OFDMA Radio Access Networks Through Machine Learning.
Proceedings of the 2019 Wireless Days, 2019

2018
Towards 5G: A Reinforcement Learning-Based Scheduling Solution for Data Traffic Management.
IEEE Trans. Netw. Serv. Manag., 2018

Editorial Message: Special Issue on Efficient Fuzzy Systems for Mining Large Scale, Imprecise, Uncertain and Vague Data.
Int. J. Fuzzy Syst., 2018

An adaptive opportunistic routing scheme for reliable data delivery in WSNs.
Proceedings of the 2nd International Conference on Future Networks and Distributed Systems, 2018

Diversifying Search in Bee Algorithms for Numerical Optimisation.
Proceedings of the Computational Collective Intelligence - 10th International Conference, 2018

Building Collaboration in Multi-agent Systems Using Reinforcement Learning.
Proceedings of the Computational Collective Intelligence - 10th International Conference, 2018

Selecting Display Products for Furniture Stores Using Fuzzy Multi-criteria Decision Making Techniques.
Proceedings of the Engineering Applications of Neural Networks, 2018

Managing Congestion in Vehicular Networks Using Tabu Search.
Proceedings of the Engineering Applications of Neural Networks, 2018

2017
A reinforcement learning algorithm for building collaboration in multi-agent systems.
CoRR, 2017

A Parametric Study for Congestion Control in Queuing Networks.
Proceedings of the International Conference on Future Networks and Distributed Systems, 2017

Lessons Learned from Analysis of Los Frailes Tailing Dam Failure.
Proceedings of the Advances in Safety Management and Human Factors, 2017

Aviation Accident Analysis: A Case Study.
Proceedings of the Advances in Safety Management and Human Factors, 2017

2015
A multi-agent based approach for change management in manufacturing enterprises.
J. Intell. Manuf., 2015

Creep modelling of polypropylenes using artificial neural networks trained with Bee algorithms.
Eng. Appl. Artif. Intell., 2015

2014
Scheduling policies based on dynamic throughput and fairness tradeoff control in LTE-A networks.
Proceedings of the IEEE 39th Conference on Local Computer Networks, 2014

Adaptive proportional fair parameterization based LTE scheduling using continuous actor-critic reinforcement learning.
Proceedings of the IEEE Global Communications Conference, 2014

2013
Multiuser scheduling on the LTE downlink with meta-heuristic approaches.
Phys. Commun., 2013

Scheduling Cutting Process for Large Paper Rolls
CoRR, 2013

Heuristic-based neural networks for stochastic dynamic lot sizing problem.
Appl. Soft Comput., 2013

A hybrid swarm intelligence algorithm for multiuser scheduling in HSDPA.
Appl. Soft Comput., 2013

Refining scheduling policies with genetic algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

A Novel Learning-Based Spectrum Sensing Technique for Cognitive Radio Networks.
Proceedings of the 27th International Conference on Advanced Information Networking and Applications Workshops, 2013

2012
Coordinating metaheuristic agents with swarm intelligence.
J. Intell. Manuf., 2012

Multi Objective Resource Scheduling in LTE Networks Using Reinforcement Learning.
Int. J. Distributed Syst. Technol., 2012

A novel dynamic Q-learning-based scheduler technique for LTE-advanced technologies using neural networks.
Proceedings of the 37th Annual IEEE Conference on Local Computer Networks, 2012

2011
Utilizing Next Generation Emerging Technologies for Enabling Collective Computational Intelligence in Disaster Management.
Proceedings of the Next Generation Data Technologies for Collective Computational Intelligence, 2011

Multiuser Scheduling on the LTE Downlink with Simulated Annealing.
Proceedings of the 73rd IEEE Vehicular Technology Conference, 2011

Reinforcement learning based radio resource scheduling in LTE-advanced.
Proceedings of the 17th International Conference on Automation and Computing, 2011

Scanning Environments with Swarms of Learning Birds: A Computational Intelligence Approach for Managing Disasters.
Proceedings of the 25th IEEE International Conference on Advanced Information Networking and Applications, 2011

2010
A new orthogonal array based crossover, with analysis of gene interactions, for evolutionary algorithms and its application to car door design.
Expert Syst. Appl., 2010

Collaboration of heterogenous metaheuristic agents.
Proceedings of the Fifth IEEE International Conference on Digital Information Management, 2010

Swarms of Metaheuristic Agents: A Model for Collective intelligence.
Proceedings of the 3PGCIC 2010, 2010

2009
Multiuser scheduling in high speed downlink packet access.
IET Commun., 2009

Multiuser Scheduling in HSDPA with Particle Swarm Optimization.
Proceedings of the Applications of Evolutionary Computing, 2009

2008
Sequential and Parallel Variable Neighborhood Search Algorithms for Job Shop Scheduling.
Proceedings of the Metaheuristics for Scheduling in Industrial and Manufacturing Applications, 2008

Genetic Algorithms with Dynamic Mutation Rates and their Industrial Applications.
Int. J. Comput. Intell. Appl., 2008

A Particle Swarm Optimization Algorithm for Multiuser Scheduling in HSDPA.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2008

2007
UMTS base station location planning: a mathematical model and heuristic optimisation algorithms.
IET Commun., 2007

A Novel Programming Model and Optimisation Algorithms for WCDMA Networks.
Proceedings of the 65th IEEE Vehicular Technology Conference, 2007

Metaheuristic Agent Teams for Job Shop Scheduling Problems.
Proceedings of the Holonic and Multi-Agent Systems for Manufacturing, 2007

A Comparative Investigation on Heuristic Optimization of WCDMA Radio Networks.
Proceedings of the Applications of Evolutinary Computing, 2007

2006
Main Effect Fine-tuning of the Mutation Operator and the Neighbourhood Function for Uncapacitated Facility Location Problems.
Soft Comput., 2006

Variable Neighbourhood Search for Job Shop Scheduling Problems.
J. Softw., 2006

A Variable Neighbourhood Search Algorithm for Job Shop Scheduling Problems.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2006

2004
A simulated annealing algorithm for multi-agent systems: a job-shop scheduling application.
J. Intell. Manuf., 2004

Teams of autonomous agents for job-shop scheduling problems: An experimental study.
J. Intell. Manuf., 2004

A Distributed Evolutionary Simulated Annealing Algorithm for Combinatorial Optimisation Problems.
J. Heuristics, 2004

Parameterisation of mutation in evolutionary algorithms using the estimated main effect of genes.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

An empirical study on the performance of factorial design based crossover on parametrical problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
New Factorial Design Theoretic Crossover Operator for Parametrical Problem.
Proceedings of the Genetic Programming, 6th European Conference, EuroGP 2003, 2003

A Taguchi method-based crossover operator for the parametrical problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

An epistasis measure based on the analysis of variance for the real-coded representation in genetic algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2000
Dynamic job-shop scheduling using reinforcement learning agents.
Robotics Auton. Syst., 2000


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