All Outputs (6)

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.