A Chaotic Teaching Learning Based Optimization Algorithm for Optimization Emergency Flood Evacuation Routing
One of the key issues in any major flood disaster relates to the evacuation of victims. Given human lives is at stake, the evacuation process involving flood disaster needs to be undertaken in timely and efficient manner. An evacuation routing plan should be optimally constructed considering the cur...
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| Format: | Conference or Workshop Item |
| Language: | English English |
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2016
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| Online Access: | http://umpir.ump.edu.my/id/eprint/12419/1/A%20Chaotic%20Teaching%20Learning0001.pdf http://umpir.ump.edu.my/id/eprint/12419/6/A%20Chaotic%20Teaching%20Learning%20Based%20Optimization%20Algorithm%20for%20Optimization%20Emergency%20Flood%20Evacuation%20Routing.pdf |
| _version_ | 1796991152411377664 |
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| author | Kamal Z., Zamli |
| author_facet | Kamal Z., Zamli |
| author_sort | Kamal Z., Zamli |
| collection | UMP |
| description | One of the key issues in any major flood disaster relates to the evacuation of victims. Given human lives is at stake, the evacuation process involving flood disaster needs to be undertaken in timely and efficient manner. An evacuation routing plan should be optimally constructed considering the current resources and constraints available at that particular moment. Addressing this issue, this paper proposes the adoption and enhancement of the meta-heuristic algorithm, called Teaching Learning based Optimization (TLBO), to optimize the flood evacuation routing. Unlike competing work, the proposed work dwells on TLBO as parameter free algorithm (i.e. free from tuning). In this manner, the results reflect the actual algorithm’s optimal performance without the necessity of painstakingly difficult tuning process that potentially leads to false optimum solution. The novelty of our work is the fact that we enhance TLBO with elitism and chaotic behavior ensuring its effectiveness for global exploration and local exploitation. Our benchmarks of our enhanced TLBO against original TLBO and Hill Climbing Algorithm for flood routing optimization have shown promising results. |
| first_indexed | 2024-03-06T12:02:03Z |
| format | Conference or Workshop Item |
| id | UMPir12419 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T12:02:03Z |
| publishDate | 2016 |
| record_format | dspace |
| spelling | UMPir124192018-01-16T00:53:25Z http://umpir.ump.edu.my/id/eprint/12419/ A Chaotic Teaching Learning Based Optimization Algorithm for Optimization Emergency Flood Evacuation Routing Kamal Z., Zamli QA75 Electronic computers. Computer science T Technology (General) One of the key issues in any major flood disaster relates to the evacuation of victims. Given human lives is at stake, the evacuation process involving flood disaster needs to be undertaken in timely and efficient manner. An evacuation routing plan should be optimally constructed considering the current resources and constraints available at that particular moment. Addressing this issue, this paper proposes the adoption and enhancement of the meta-heuristic algorithm, called Teaching Learning based Optimization (TLBO), to optimize the flood evacuation routing. Unlike competing work, the proposed work dwells on TLBO as parameter free algorithm (i.e. free from tuning). In this manner, the results reflect the actual algorithm’s optimal performance without the necessity of painstakingly difficult tuning process that potentially leads to false optimum solution. The novelty of our work is the fact that we enhance TLBO with elitism and chaotic behavior ensuring its effectiveness for global exploration and local exploitation. Our benchmarks of our enhanced TLBO against original TLBO and Hill Climbing Algorithm for flood routing optimization have shown promising results. 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/12419/1/A%20Chaotic%20Teaching%20Learning0001.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/12419/6/A%20Chaotic%20Teaching%20Learning%20Based%20Optimization%20Algorithm%20for%20Optimization%20Emergency%20Flood%20Evacuation%20Routing.pdf Kamal Z., Zamli (2016) A Chaotic Teaching Learning Based Optimization Algorithm for Optimization Emergency Flood Evacuation Routing. In: International Symposium of Information and Internet Technology , 26 - 28 Jan 2016 , Melaka. . |
| spellingShingle | QA75 Electronic computers. Computer science T Technology (General) Kamal Z., Zamli A Chaotic Teaching Learning Based Optimization Algorithm for Optimization Emergency Flood Evacuation Routing |
| title | A Chaotic Teaching Learning Based Optimization Algorithm for Optimization Emergency Flood Evacuation Routing |
| title_full | A Chaotic Teaching Learning Based Optimization Algorithm for Optimization Emergency Flood Evacuation Routing |
| title_fullStr | A Chaotic Teaching Learning Based Optimization Algorithm for Optimization Emergency Flood Evacuation Routing |
| title_full_unstemmed | A Chaotic Teaching Learning Based Optimization Algorithm for Optimization Emergency Flood Evacuation Routing |
| title_short | A Chaotic Teaching Learning Based Optimization Algorithm for Optimization Emergency Flood Evacuation Routing |
| title_sort | chaotic teaching learning based optimization algorithm for optimization emergency flood evacuation routing |
| topic | QA75 Electronic computers. Computer science T Technology (General) |
| url | http://umpir.ump.edu.my/id/eprint/12419/1/A%20Chaotic%20Teaching%20Learning0001.pdf http://umpir.ump.edu.my/id/eprint/12419/6/A%20Chaotic%20Teaching%20Learning%20Based%20Optimization%20Algorithm%20for%20Optimization%20Emergency%20Flood%20Evacuation%20Routing.pdf |
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