All Outputs (11)

Modelling interrelationship between diseases with communicating stream x-machines (2022)
Journal Article
Jayatilake, D., Phung, K., Ogunshile, E., & Aydin, M. (2022). Modelling interrelationship between diseases with communicating stream x-machines. Proceedings of the Institute for System Programming of the RAS, 34(6), 147-164. https://doi.org/10.15514/ispras-2022-34%286%29-11

The world is moving towards alternative medicine and behavioural alteration for treating, managing, and preventing chronical diseases. In the last few decades, diagrammatical models have been extensively used to describe and understand the behaviou... Read More about Modelling interrelationship between diseases with communicating stream x-machines.

Managing Congestion in Vehicular Networks Using Tabu Search (2018)
Journal Article
Ishaq, M., Malik, M. H., & Aydin, M. E. (2018). Managing Congestion in Vehicular Networks Using Tabu Search. Communications in Computer and Information Science, 893, 118-129. https://doi.org/10.1007/978-3-319-98204-5_10

© 2018, Springer Nature Switzerland AG. In this era of communication, exponentially growing networks bring a lot of challenges to address for smoother network functionalities. Among them is efficiency in handling packet traffic to avoid and control c... Read More about Managing Congestion in Vehicular Networks Using Tabu Search.

Selecting Display Products for Furniture Stores Using Fuzzy Multi-criteria Decision Making Techniques (2018)
Journal Article
Uygun, Ö., Güven, İ., Şimşir, F., & Aydin, M. E. (2018). Selecting Display Products for Furniture Stores Using Fuzzy Multi-criteria Decision Making Techniques. Communications in Computer and Information Science, 893, 181-193. https://doi.org/10.1007/978-3-319-98204-5_15

© 2018, Springer Nature Switzerland AG. Efficient marketing in which the right products are supplied to the right consumer plays a crucial role for a profitable business in the age of highly accessible and competitive global market. This fact enforce... Read More about Selecting Display Products for Furniture Stores Using Fuzzy Multi-criteria Decision Making Techniques.

Diversifying search in bee algorithms for numerical optimisation (2018)
Journal Article
Düg̃enci, M., & Aydin, M. E. (2018). Diversifying search in bee algorithms for numerical optimisation. Lecture Notes in Artificial Intelligence, 11056 LNAI, 132-144. https://doi.org/10.1007/978-3-319-98446-9_13

© Springer Nature Switzerland AG 2018. Swarm intelligence offers useful instruments for developing collective behaviours to solve complex, ill-structured and large-scale problems. Efficiency in collective behaviours depends on how to harmonise the in... Read More about Diversifying search in bee algorithms for numerical optimisation.

Building collaboration in multi-agent systems using reinforcement learning (2018)
Journal Article
Aydin, M. E., & Fellows, R. (2018). Building collaboration in multi-agent systems using reinforcement learning. Lecture Notes in Artificial Intelligence, 11056 LNAI, 201-212. https://doi.org/10.1007/978-3-319-98446-9_19

© Springer Nature Switzerland AG 2018. This paper presents a proof-of concept study for demonstrating the viability of building collaboration among multiple agents through standard Q learning algorithm embedded in particle swarm optimisation. Collabo... Read More about Building collaboration in multi-agent systems using reinforcement learning.

A genetic algorithm approach for multiuser scheduling on the LTE downlink (2012)
Journal Article
Aydin, M. E., Kwan, R., Ding, W., & Wu, J. (2012). A genetic algorithm approach for multiuser scheduling on the LTE downlink. Lecture Notes in Artificial Intelligence, 2198, 1252-1257

The problem of multi-user radio resource scheduling on the downlink of a Long Term Evolution (LTE) cellular communication system is addressed in this paper. The optimization model used imposed that the radio resources for multiple users are jointly a... Read More about A genetic algorithm approach for multiuser scheduling on the LTE downlink.

Metaheuristic agent teams for job shop scheduling problems (2007)
Journal Article
Aydin, M. E. (2007). Metaheuristic agent teams for job shop scheduling problems. Lecture Notes in Artificial Intelligence, 4659, 185-194. https://doi.org/10.1007/978-3-540-74481-8_18

This paper addresses and introduces an overview on various multi-agent architectures applied to teams of metaheuristic agents for job shop scheduling applications, whose developed and examined on distributed problem solving environments. We reported... Read More about Metaheuristic agent teams for job shop scheduling problems.

Parallel variable neighbourhood search algorithms for job shop scheduling problems (2007)
Journal Article
Sevkli, M., & Aydin, M. E. (2007). Parallel variable neighbourhood search algorithms for job shop scheduling problems. IMA Journal of Management Mathematics, 18(2), 117-133. https://doi.org/10.1093/imaman/dpm009

Variable neighbourhood search (VNS) is one of the most recent metaheuristics used for solving combinatorial optimization problems in which a systematic change of neighbourhood with a local search is carried out. However, as happens with other metaheu... Read More about Parallel variable neighbourhood search algorithms for job shop scheduling problems.

A variable neighbourhood search algorithm for job shop scheduling problems (2006)
Journal Article
Sevkli, M., & Aydin, M. E. (2006). A variable neighbourhood search algorithm for job shop scheduling problems. Lecture Notes in Artificial Intelligence, 3906 LNCS, 261-271. https://doi.org/10.1007/11730095_22

Variable Neighbourhood Search (VNS) is one of the most recent metaheuristics used for solving combinatorial optimization problems in which a systematic change of neighbourhood within a local search is carried out. In this paper, a variable neighbourh... Read More about A variable neighbourhood search algorithm for job shop scheduling problems.

A simulated annealing algorithm for multi-agent systems: A job-shop scheduling application (2004)
Journal Article
Aydin, M. E., & Fogarty, T. C. (2004). A simulated annealing algorithm for multi-agent systems: A job-shop scheduling application. Journal of Intelligent Manufacturing, 15(6), 805-814. https://doi.org/10.1023/B%3AJIMS.0000042665.10086.cf

In this paper, a parallel implementation of the modular simulated annealing algorithm for classical job-shop scheduling is presented. The implementation is for a multi agent system running on the distributed resource machine, which is a novel, scalab... Read More about A simulated annealing algorithm for multi-agent systems: A job-shop scheduling application.

Teams of autonomous agents for job-shop scheduling problems: An experimental study (2004)
Journal Article
Fogarty, T. C., & Aydin, M. E. (2004). Teams of autonomous agents for job-shop scheduling problems: An experimental study. Journal of Intelligent Manufacturing, 15(4), 455-462. https://doi.org/10.1023/B%3AJIMS.0000034108.66105.59

ATeams - teams of autonomous agents co-operating by sharing solutions through a common memory-have been proposed as a means of solving combinatorial optimization problems. In this paper, the ATeam architecture is tested on the job-shop scheduling pro... Read More about Teams of autonomous agents for job-shop scheduling problems: An experimental study.