On the optimal control of the steel annealing processes as a two-stage hybrid systems via PSO algorithms
The computation of optimal control variables for a two-stage steel annealing process which comprises of one or more furnaces is proposed in this paper. The heating and soaking furnaces of the steel annealing line form the two-stage hybrid systems. Three algorithms including particle swarm optimisati...
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| Format: | Article |
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2009
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| _version_ | 1825719045910953984 |
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| author | Arumugam, M.S. Murthy, G.R. Loo, C.K. |
| author_facet | Arumugam, M.S. Murthy, G.R. Loo, C.K. |
| author_sort | Arumugam, M.S. |
| collection | UM |
| description | The computation of optimal control variables for a two-stage steel annealing process which comprises of one or more furnaces is proposed in this paper. The heating and soaking furnaces of the steel annealing line form the two-stage hybrid systems. Three algorithms including particle swarm optimisation (PSO) with globally and locally tuned parameters (GLBest PSO), a parameter free PSO algorithm (pf-PSO) and a PSO-like algorithm via extrapolated PSO (ePSO) are considered to solve this optimal control problem for the two-stage steel annealing processes (SAP). The optimal solutions including optimal line speed, optimal cost and job completion time obtained through these three methods are compared with one another and those obtained via conventional PSO (cPSO) with time varying inertia weight (TVIW) and time varying acceleration coefficient (TVAC). From the results obtained through the five algorithms considered, the efficacy and validity of each algorithm are analysed. |
| first_indexed | 2024-03-06T05:13:40Z |
| format | Article |
| id | um.eprints-5157 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:13:40Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | um.eprints-51572013-03-19T00:16:35Z http://eprints.um.edu.my/5157/ On the optimal control of the steel annealing processes as a two-stage hybrid systems via PSO algorithms Arumugam, M.S. Murthy, G.R. Loo, C.K. T Technology (General) The computation of optimal control variables for a two-stage steel annealing process which comprises of one or more furnaces is proposed in this paper. The heating and soaking furnaces of the steel annealing line form the two-stage hybrid systems. Three algorithms including particle swarm optimisation (PSO) with globally and locally tuned parameters (GLBest PSO), a parameter free PSO algorithm (pf-PSO) and a PSO-like algorithm via extrapolated PSO (ePSO) are considered to solve this optimal control problem for the two-stage steel annealing processes (SAP). The optimal solutions including optimal line speed, optimal cost and job completion time obtained through these three methods are compared with one another and those obtained via conventional PSO (cPSO) with time varying inertia weight (TVIW) and time varying acceleration coefficient (TVAC). From the results obtained through the five algorithms considered, the efficacy and validity of each algorithm are analysed. 2009 Article PeerReviewed Arumugam, M.S. and Murthy, G.R. and Loo, C.K. (2009) On the optimal control of the steel annealing processes as a two-stage hybrid systems via PSO algorithms. International Journal of Bio-Inspired Computation, 1 (3). pp. 198-209. ISSN 1758-0366, http://inderscience.metapress.com/content/r6v65j3260905666/ |
| spellingShingle | T Technology (General) Arumugam, M.S. Murthy, G.R. Loo, C.K. On the optimal control of the steel annealing processes as a two-stage hybrid systems via PSO algorithms |
| title | On the optimal control of the steel annealing processes as a two-stage hybrid systems via PSO algorithms |
| title_full | On the optimal control of the steel annealing processes as a two-stage hybrid systems via PSO algorithms |
| title_fullStr | On the optimal control of the steel annealing processes as a two-stage hybrid systems via PSO algorithms |
| title_full_unstemmed | On the optimal control of the steel annealing processes as a two-stage hybrid systems via PSO algorithms |
| title_short | On the optimal control of the steel annealing processes as a two-stage hybrid systems via PSO algorithms |
| title_sort | on the optimal control of the steel annealing processes as a two stage hybrid systems via pso algorithms |
| topic | T Technology (General) |
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