Noise Reduction Technique for a Simulation Optimisation Study
This paper reports on an attempt to apply Genetic Algorithms to the problem of optimising a complex system, through discrete event simulation (Simulation Optimisation), with a view to reducing the noise associated with such a procedure. We are applying this proposed solution approach to our applicat...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Published: |
2007
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| Online Access: | https://eprints.nottingham.ac.uk/590/ |
| _version_ | 1848790438547292160 |
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| author | Adewunmi, Adrian Aickelin, Uwe |
| author_facet | Adewunmi, Adrian Aickelin, Uwe |
| author_sort | Adewunmi, Adrian |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | This paper reports on an attempt to apply Genetic Algorithms to the problem of optimising a complex system, through discrete event simulation (Simulation Optimisation), with a view to reducing the noise associated with such a procedure. We are applying this proposed solution approach to our application test bed, a Crossdocking distribution centre, because it provides a good representative of the random and unpredictable behaviour of complex systems i.e. automated machine random failure and the variability of manual order picker skill. It is known that there is noise in the output of discrete event simulation modelling. However, our interest focuses on the effect of noise on the evaluation of the fitness of candidate solutions within the search space, and the development of techniques to handle this noise. The unique quality of our proposed solution approach is we intend to embed a noise reduction technique in our Genetic Algorithm based optimisation procedure, in order for it to be robust enough to handle noise, efficiently estimate suitable fitness function, and produce good quality solutions with minimal computational effort. |
| first_indexed | 2025-11-14T18:12:37Z |
| format | Conference or Workshop Item |
| id | nottingham-590 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:12:37Z |
| publishDate | 2007 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-5902020-05-04T20:28:36Z https://eprints.nottingham.ac.uk/590/ Noise Reduction Technique for a Simulation Optimisation Study Adewunmi, Adrian Aickelin, Uwe This paper reports on an attempt to apply Genetic Algorithms to the problem of optimising a complex system, through discrete event simulation (Simulation Optimisation), with a view to reducing the noise associated with such a procedure. We are applying this proposed solution approach to our application test bed, a Crossdocking distribution centre, because it provides a good representative of the random and unpredictable behaviour of complex systems i.e. automated machine random failure and the variability of manual order picker skill. It is known that there is noise in the output of discrete event simulation modelling. However, our interest focuses on the effect of noise on the evaluation of the fitness of candidate solutions within the search space, and the development of techniques to handle this noise. The unique quality of our proposed solution approach is we intend to embed a noise reduction technique in our Genetic Algorithm based optimisation procedure, in order for it to be robust enough to handle noise, efficiently estimate suitable fitness function, and produce good quality solutions with minimal computational effort. 2007 Conference or Workshop Item PeerReviewed Adewunmi, Adrian and Aickelin, Uwe (2007) Noise Reduction Technique for a Simulation Optimisation Study. In: Annual Operational Research Conference 49 (OR 49), Edinburgh, UK. |
| spellingShingle | Adewunmi, Adrian Aickelin, Uwe Noise Reduction Technique for a Simulation Optimisation Study |
| title | Noise Reduction Technique for a Simulation Optimisation Study |
| title_full | Noise Reduction Technique for a Simulation Optimisation Study |
| title_fullStr | Noise Reduction Technique for a Simulation Optimisation Study |
| title_full_unstemmed | Noise Reduction Technique for a Simulation Optimisation Study |
| title_short | Noise Reduction Technique for a Simulation Optimisation Study |
| title_sort | noise reduction technique for a simulation optimisation study |
| url | https://eprints.nottingham.ac.uk/590/ |