All Outputs (101)

Collective intelligence for monitoring innovation and change in manufacturing industry (2012)
Conference Proceeding
Ayhan, M. B., Aydin, M. E., & Oztemel, E. (2012). Collective intelligence for monitoring innovation and change in manufacturing industry. In Proceedings of the World Congress on Engineering 2012. , (1395-1400)

© 2012 Newswood Limited. All rights reserved. Change monitoring and management become an unavoidable necessity for companies in order to stay competitive in global market.This requires thorough handling models for change management to attain a system... Read More about Collective intelligence for monitoring innovation and change in manufacturing industry.

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.

Reinforcement learning based radio resource scheduling in LTE-advanced (2011)
Conference Proceeding
Comsa, I. S., Aydin, M., Zhang, S., Kuonen, P., & Wagen, J. F. (2011). Reinforcement learning based radio resource scheduling in LTE-advanced.

In this paper, a novel radio resource scheduling policy for Long Term Evolution Advanced (LTE-A) radio access technology in downlink acceptance is proposed. The scheduling process works with dispatching rules which are various with different behavior... Read More about Reinforcement learning based radio resource scheduling in LTE-advanced.

Utilizing next generation emerging technologies for enabling collective computational intelligence in disaster management (2011)
Journal Article
Bessis, N., Assimakopoulou, E., Aydin, M. E., & Xhafa, F. (2011). Utilizing next generation emerging technologies for enabling collective computational intelligence in disaster management. Studies in Computational Intelligence, 352, 503-526. https://doi.org/10.1007/978-3-642-20344-2_19

Much work is underway within the broad next generation emerging technologies community on issues associated with the development of services to foster synergies and collaboration via the integration of distributed and heterogeneous resources, systems... Read More about Utilizing next generation emerging technologies for enabling collective computational intelligence in disaster management.

Multiuser scheduling on the LTE downlink with simulated annealing (2011)
Conference Proceeding
Aydin, M. E., Kwan, R., Wu, J., & Zhang, J. (2011). Multiuser scheduling on the LTE downlink with simulated annealing. In 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring). , (1-5). https://doi.org/10.1109/VETECS.2011.5956238

In this paper, the issue of multi-user radio resource scheduling on the downlink of a Long Term Evolution (LTE) cellular communication system is addressed. An optimization model has been proposed in [1], where radio resources for multiple users are j... Read More about Multiuser scheduling on the LTE downlink with simulated annealing.

Scanning environments with swarms of learning birds: A computational intelligence approach for managing disasters (2011)
Conference Proceeding
Aydin, M. E., Bessis, N., Asimakopoulou, E., Xhafa, F., & Wu, J. (2011). Scanning environments with swarms of learning birds: A computational intelligence approach for managing disasters. In Proceedings of 2011 IEEE International Conference on Advanced Information Networking and Applications. , (332-339). https://doi.org/10.1109/AINA.2011.75

Much work is underway within the broad next generation technologies community on issues associated with the development of services to foster collaboration via the integration of distributed and heterogeneous data systems and technologies. In previou... Read More about Scanning environments with swarms of learning birds: A computational intelligence approach for managing disasters.

Collaboration of heterogenous metaheuristic agents (2010)
Conference Proceeding
Aydin, M. E. (2010). Collaboration of heterogenous metaheuristic agents. https://doi.org/10.1109/ICDIM.2010.5664656

Collaboration of metaheuristic agents remains as a problem, which attracts challenges to overcome in order to manage a better collaboration in problem solving methodologies. Swarm intelligences techniques have been tried as collaborating methods with... Read More about Collaboration of heterogenous metaheuristic agents.

Swarms of metaheuristic agents: A model for collective intelligence (2010)
Conference Proceeding
Aydin, M. E., Wu, J., & Zhang, L. (2010). Swarms of metaheuristic agents: A model for collective intelligence. In 2010 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (296-301). https://doi.org/10.1109/3PGCIC.2010.49

Swarm intelligence algorithms are created to build collective intelligence based on inherent properties of populations. However, this sort of problem solving approaches use collective evolution of solutions, which make up the population relied on. Th... Read More about Swarms of metaheuristic agents: A model for collective intelligence.

Coordinating metaheuristic agents with swarm intelligence (2010)
Journal Article
Aydin, M. E. (2012). Coordinating metaheuristic agents with swarm intelligence. Journal of Intelligent Manufacturing, 23(4), 991-999. https://doi.org/10.1007/s10845-010-0435-y

Coordination of multi agent systems remains as a problem since there is no prominent method suggests any universal solution. Metaheuristic agents are specific implementations of multi-agent systems, which imposes working together to solve optimisatio... Read More about Coordinating metaheuristic agents with swarm intelligence.

A new orthogonal array based crossover, with analysis of gene interactions, for evolutionary algorithms and its application to car door design (2010)
Journal Article
Kwong, C. K., Chan, K. Y., Jiang, H., Aydin, M. E., & Fogarty, T. C. (2010). A new orthogonal array based crossover, with analysis of gene interactions, for evolutionary algorithms and its application to car door design. Expert Systems with Applications, 37(5), 3853-3862. https://doi.org/10.1016/j.eswa.2009.11.033

Recent research shows that orthogonal array based crossovers outperform standard and existing crossovers in evolutionary algorithms in solving parametrical problems with high dimensions and multi-optima. However, those crossovers employed so far, ign... Read More about A new orthogonal array based crossover, with analysis of gene interactions, for evolutionary algorithms and its application to car door design.

Multiuser scheduling in high speed downlink packet access (2009)
Journal Article
Kwan, R., Aydin, M. E., Leung, C., & Zhang, J. (2009). Multiuser scheduling in high speed downlink packet access. IET Communications, 3(8), 1363-1370. https://doi.org/10.1049/iet-com.2008.0340

Multiuser scheduling is an important aspect in the performance optimisation of a wireless network as it allows multiple users to efficiently access a shared channel by exploiting multiuser diversity. For example, the 3GPP cellular standard supports m... Read More about Multiuser scheduling in high speed downlink packet access.

A statistics-based genetic algorithm for quality improvements of power supplies (2009)
Journal Article
Chan, K. Y., Pong, G. T., Aydin, M. E., Fogarty, T. C., & Ling, S. H. (2009). A statistics-based genetic algorithm for quality improvements of power supplies. European Journal of Industrial Engineering, 3(4), 468-492. https://doi.org/10.1504/EJIE.2009.027038

This paper presents a new statistics-based evolutionary algorithm to improve the qualities of power supplies, in which operational costs and the stability of the power supply are optimised to provide a highly smooth but low-cost power supply service... Read More about A statistics-based genetic algorithm for quality improvements of power supplies.

An exploration of the literature on the use of 'swarm intelligence-based techniques' for public service problems (2009)
Journal Article
Gökçen, H., Daş, G. S., Seçkiner, S. U., Dereli, T., & Aydin, M. E. (2009). An exploration of the literature on the use of 'swarm intelligence-based techniques' for public service problems. European Journal of Industrial Engineering, 3(4), 379-423. https://doi.org/10.1504/EJIE.2009.027034

The importance of studying public service systems and finding robust solutions to the problems encountered in public service management has increased considerably over the past decade. One of the main objectives is to find acceptable solutions to Pub... Read More about An exploration of the literature on the use of 'swarm intelligence-based techniques' for public service problems.

Multiuser scheduling in HSDPA with particle swarm optimization (2009)
Conference Proceeding
Aydin, M. E., Kwan, R., Leung, C., & Zhang, J. (2009). Multiuser scheduling in HSDPA with particle swarm optimization. In M. Giacobini, A. Brabazon, S. Cagnoni, G. A. Di Caro, A. Ekárt, A. Isabel Esparcia-Alcázar, …P. Machado (Eds.), Applications of Evolutionary Computing (71-80). https://doi.org/10.1007/978-3-642-01129-0_8

In this paper, a mathematical model of multiuser scheduling problem in HSDPA is developed to use in optimization process. A more realistic imperfect channel state information (CSI) feedback, which is required for this problem, in the form of a finite... Read More about Multiuser scheduling in HSDPA with particle swarm optimization.

Genetic algorithms with dynamic mutation rates and their industrial applications (2008)
Journal Article
Chan, K. Y., Fogarty, T. C., Aydin, M. E., Ling, S. H., & Iu, H. H. (2008). Genetic algorithms with dynamic mutation rates and their industrial applications. International Journal of Computational Intelligence and Applications, 7(2), 103-128. https://doi.org/10.1142/S1469026808002211

This paper presents a method on how to estimate main effects of gene representation. This estimate can be used not only to understand the domination of genes in the representation but also to design the mutation rate in genetic algorithms (GAs). A ne... Read More about Genetic algorithms with dynamic mutation rates and their industrial applications.

A particle swarm optimization algorithm for multiuser scheduling in HSDPA (2008)
Conference Proceeding
Aydin, M. E., Kwan, R., Leung, C., & Zhang, J. (2008). A particle swarm optimization algorithm for multiuser scheduling in HSDPA. In Ant Colony Optimization and Swarm Intelligence (395-396). https://doi.org/10.1007/978-3-540-87527-7_42

This paper briefs the problem of optimal multiuser scheduling in HSDPA. The modulation and coding schemes (MCSs), numbers of multicodes and power levels for all users are jointly optimized at each scheduling period, given that only limited Channel Qu... Read More about A particle swarm optimization algorithm for multiuser scheduling in HSDPA.

Multiuser scheduling in HSDPA using simulated annealing (2008)
Conference Proceeding
Kwan, R., Aydin, M. E., Leung, C., & Zhang, J. (2008). Multiuser scheduling in HSDPA using simulated annealing. In 2008 International Wireless Communications and Mobile Computing Conference (236-241). https://doi.org/10.1109/IWCMC.2008.42

In this paper, the issue of multiuser scheduling in the context of the High Speed Downlink Packet Access (HSDPA) is addressed. Given limited radio resources at the base station, the main challenge is to assign these resources to multiple users at eac... Read More about Multiuser scheduling in HSDPA using simulated annealing.

Sequential and parallel variable neighborhood search algorithms for job shop scheduling (2008)
Book Chapter
Aydin, M. E., & Sevkli, M. (2008). Sequential and parallel variable neighborhood search algorithms for job shop scheduling. In F. Xhafa, & A. Abraham (Eds.), Metaheuristics for Scheduling in Industrial and Manufacturing Applications (125-144). Springer Verlag. https://doi.org/10.1007/978-3-540-78985-7_6

Variable Neighborhood Search (VNS) is a recently invented metaheuristic to use in solving combinatorial optimization problems in which a systematic change of neighborhood with a local search is carried out. However, as happens with other meta-heurist... Read More about Sequential and parallel variable neighborhood search algorithms for job shop scheduling.

UMTS base station location planning: A mathematical model and heuristic optimisation algorithms (2007)
Journal Article
Yang, J., Aydin, M. E., Zhang, J., & Maple, C. (2007). UMTS base station location planning: A mathematical model and heuristic optimisation algorithms. IET Communications, 1(5), 1007-1014. https://doi.org/10.1049/iet-com%3A20060495

Radio networks of universal mobile telecommunication system (UMTS) need accurate planning and optimisation, and many factors not seen in second generation (2G) networks must be considered. However, planning and optimisation of UMTS radio networks are... Read More about UMTS base station location planning: A mathematical model and heuristic optimisation algorithms.

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.