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All Outputs (101)

A novel programming model and optimisation algorithms for WCDMA networks (2007)
Conference Proceeding
Yang, J., Zhang, J., Aydin, M. E., & Wu, J. Y. (2007). A novel programming model and optimisation algorithms for WCDMA networks. In 2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring (1182-1187). https://doi.org/10.1109/VETECS.2007.250

To obtain a good trade-off between accuracy and the computational load of WCDMA (wideband code-division multiple access) network planning and optimisation, link-level performance factors such as the impact of soft handover and fast power control need... Read More about A novel programming model and optimisation algorithms for WCDMA networks.

Optimisation of WCDMA radio networks with consideration of link-level performance factors (2007)
Journal Article
Yang, J., Zhang, J., Aydin, M. E., & Wu, J. Y. (2007). Optimisation of WCDMA radio networks with consideration of link-level performance factors. International Journal of Mobile Network Design and Innovation, 2(1), 26-32. https://doi.org/10.1504/IJMNDI.2007.013801

Accuracy and the computational load are two important issues of Wideband Code-Division Multiple Access (WCDMA) network planning and optimisation. Link-level performance factors such as the impact of Soft Handover (SHO) and fast power control need to... Read More about Optimisation of WCDMA radio networks with consideration of link-level performance factors.

A study on programming model and heuristic optimization algorithms for WCDMA radio networks (2007)
Conference Proceeding
Zhang, J., Yang, J., & Aydin, M. E. (2007). A study on programming model and heuristic optimization algorithms for WCDMA radio networks. In 2006 First International Conference on Communications and Networking in Chinahttps://doi.org/10.1109/CHINACOM.2006.344922

The 3 Generation (3G) cellular networks, such as WCDMA (wideband code-division multiple access) networks, require accurate network planning and optimization. However, the planning and optimization of WCDMA radio network, which is a highly dynamic an... Read More about A study on programming model and heuristic optimization algorithms for WCDMA radio networks.

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 comparative investigation on heuristic optimization of WCDMA radio networks (2007)
Conference Proceeding
Aydin, M. E., Yang, J., & Zhang, J. (2007). A comparative investigation on heuristic optimization of WCDMA radio networks. In Applications of Evolutionary Computing (111-120). https://doi.org/10.1007/978-3-540-71805-5_12

The planning and optimization of WCDMA (wideband code-division multiple access)radio network issues remain vital, and are carried out using static snapshot-based simulation. To improve the accuracy of the static simulation, link-level performance fac... Read More about A comparative investigation on heuristic optimization of WCDMA radio networks.

Mathematical modelling and comparisons of four heuristic optimization algorithms for WCDMA radio network planning (2006)
Conference Proceeding
Zhang, J., Yang, J., Aydin, M. E., & Wu, J. Y. (2006). Mathematical modelling and comparisons of four heuristic optimization algorithms for WCDMA radio network planning. In 2006 International Conference on Transparent Optical Networks (253-257). https://doi.org/10.1109/ICTON.2006.248446

In order to obtain accurate and reliable network planning and optimization results. The characteristics of WCDMA networks such as power control, soft handover (SHO) and the strong couplings between coverage and capacity have to be modelled accurately... Read More about Mathematical modelling and comparisons of four heuristic optimization algorithms for WCDMA radio network planning.

Solving large-scale uncapacitated facility location problems with evolutionary simulated annealing (2006)
Journal Article
Yigit, V., Aydin, M. E., & Turkbey, O. (2006). Solving large-scale uncapacitated facility location problems with evolutionary simulated annealing. International Journal of Production Research, 44(22), 4773-4791. https://doi.org/10.1080/00207540600621003

Uncapacitated Facility Location (UFL) Problems are, in general, modelled as mixed integer programming problems, which are known as NP-hard problems. In recent years, a few publications have appeared on the metaheuristics for solving UFL problems, dis... Read More about Solving large-scale uncapacitated facility location problems with evolutionary simulated annealing.

An orthogonal array based genetic algorithm for developing neural network based process models of fluid dispensing (2006)
Journal Article
Kwong, C. K., Chan, K. Y., Aydin, M. E., & Fogarty, T. C. (2006). An orthogonal array based genetic algorithm for developing neural network based process models of fluid dispensing. International Journal of Production Research, 44(22), 4815-4836. https://doi.org/10.1080/00207540600620880

Fluid dispensing is a popular process in the semiconductor manufacturing industry, commonly being used in die-bonding as well as microchip encapsulation of electronic packaging. Modelling the fluid dispensing process is important to understanding the... Read More about An orthogonal array based genetic algorithm for developing neural network based process models of fluid dispensing.

Main effect fine-tuning of the mutation operator and the neighbourhood function for uncapacitated facility location problems (2006)
Journal Article
Chan, K. Y., Aydin, M. E., & Fogarty, T. C. (2006). Main effect fine-tuning of the mutation operator and the neighbourhood function for uncapacitated facility location problems. Soft Computing, 10(11), 1075-1090. https://doi.org/10.1007/s00500-005-0044-4

In both genetic algorithms (GAs) and simulated annealing (SA), solutions can be represented by gene representation. Mutation operator in GA and neighborhood function in SA are used to explore the solution space. They usually select genes for performi... Read More about Main effect fine-tuning of the mutation operator and the neighbourhood function for uncapacitated facility location 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.

Variable neighbourhood search for job shop scheduling problems (2006)
Journal Article
Sevkli, M., & Aydin, M. E. (2006). Variable neighbourhood search for job shop scheduling problems. Journal of Software, 1(2), 34-39. https://doi.org/10.4304/jsw.1.2.34-39

Variable Neighbourhood Search (VNS) is one of the most recent metaheuristics used for problem solving in which a systematic change of neighbourhood within a local search is carried out. In this paper, an investigation on implementing VNS for job shop... Read More about Variable neighbourhood search 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.

Parameterisation of mutation in evolutionary algorithms using the estimated main effect of genes (2004)
Conference Proceeding
Chan, K. Y., Aydin, M. E., & Fogarty, T. C. (2004). Parameterisation of mutation in evolutionary algorithms using the estimated main effect of genes. . https://doi.org/10.1109/CEC.2004.1331024

This paper describes how to estimate the main effect of genes in genetic algorithms (GAs). The resulting estimates can not only be used to understand the domination of genes in a GA but also employed to tailor the mutation rate in the GA. A new appro... Read More about Parameterisation of mutation in evolutionary algorithms using the estimated main effect of genes.

An empirical study on the performance of factorial design based crossover on parametrical problems (2004)
Conference Proceeding
Chan, K. Y., Aydin, M. E., & Fogarty, T. C. (2004). An empirical study on the performance of factorial design based crossover on parametrical problems. . https://doi.org/10.1109/CEC.2004.1330818

In the past, empirical studies have shown that factorial design based crossover can outperform standard crossover on parametrical problems. However, up to now, no conclusion has been reached as to what kind of landscape factorial design based crossov... Read More about An empirical study on the performance of factorial design based crossover on parametrical problems.

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.

A Taguchi method-based crossover operator for the parametrical problems (2004)
Conference Proceeding
Chan, K. Y., Aydin, M. E., & Fogarty, T. C. (2004). A Taguchi method-based crossover operator for the parametrical problems. In The 2003 Congress on Evolutionary Computation, 2003. CEC '03https://doi.org/10.1109/CEC.2003.1299772

Based on our observation, some major steps in the genetic algorithm, such as the crossover operator, can be considered as experiments. The aim is to apply experimental design techniques to improve the crossover operator, so that the resulting operato... Read More about A Taguchi method-based crossover operator for the parametrical problems.

An epistasis measure based on the analysis of variance for the real-coded representation in genetic algorithms (2004)
Conference Proceeding
Chan, K. Y., Aydin, M. E., & Fogarty, T. C. (2004). An epistasis measure based on the analysis of variance for the real-coded representation in genetic algorithms. In The 2003 Congress on Evolutionary Computation, 2003. CEC '03https://doi.org/10.1109/CEC.2003.1299588

Epistasis is a measure of interdependence between genes and an indicator of problem difficulty in genetic algorithms. Many researches have concentrated on the epistasis measure in binary coded representation in genetic algorithms. However, a few atte... Read More about An epistasis measure based on the analysis of variance for the real-coded representation in genetic algorithms.

New factorial design theoretic crossover operator for parametrical problem (2003)
Conference Proceeding
Chan, K. Y., Aydin, M. E., & Fogarty, T. C. (2003). New factorial design theoretic crossover operator for parametrical problem. In C. Ryan, E. Costa, R. Poli, E. Tsang, M. Keijzer, & T. Soule (Eds.), Genetic Programming (22-33). https://doi.org/10.1007/3-540-36599-0_3

Recent research shows that factorial design methods improve the performance of the crossover operator in evolutionary computation. However the methods employed so far ignore the effects of interaction between genes on fitness, i.e. "epistasis". Here... Read More about New factorial design theoretic crossover operator for parametrical problem.

Dynamic job-shop scheduling using reinforcement learning agents (2000)
Journal Article
Aydin, M. E., Aydin, M. E., & Öztemel, E. (2000). Dynamic job-shop scheduling using reinforcement learning agents. Robotics and Autonomous Systems, 33(2), 169-178. https://doi.org/10.1016/S0921-8890%2800%2900087-7

Static and dynamic scheduling methods have attracted a lot of attention in recent years. Among these, dynamic scheduling techniques handle scheduling problems where the scheduler does not possess detailed information about the jobs, which may arrive... Read More about Dynamic job-shop scheduling using reinforcement learning agents.