Simulated annealing with probabilistic analysis for solving traveling salesman problems
Simulated Annealing (SA) is a widely used meta-heuristic that was inspired from the annealing process of recrystallization of metals.Therefore, the efficiency of SA is highly affected by the annealing schedule. As a result, in this paper, we presented an empirical work to provide a comparable anneal...
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| Format: | Conference or Workshop Item |
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2013
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| _version_ | 1825803071410667520 |
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| author | Hong, Pei Yee Lim, Yai Fung Ramli, Razamin Khalid, Ruzelan |
| author_facet | Hong, Pei Yee Lim, Yai Fung Ramli, Razamin Khalid, Ruzelan |
| author_sort | Hong, Pei Yee |
| collection | UUM |
| description | Simulated Annealing (SA) is a widely used meta-heuristic that was inspired from the annealing process of recrystallization of metals.Therefore, the efficiency of SA is highly affected by the annealing schedule. As a result, in this paper, we presented an empirical work to provide a comparable annealing schedule to solve symmetric traveling salesman problems (TSP).Randomized complete block design is also used in this study. The results show that different parameters do affect the efficiency of SA and thus, we propose the best found annealing schedule based on the Post Hoc test.SA was tested on seven selected benchmarked problems of symmetric TSP with the proposed annealing schedule. The performance of SA was evaluated empirically alongside with benchmark solutions and simple analysis to validate the quality of solutions.Computational results show that the proposed annealing schedule provides a good quality of solution. |
| first_indexed | 2024-07-04T05:50:54Z |
| format | Conference or Workshop Item |
| id | uum-12814 |
| institution | Universiti Utara Malaysia |
| last_indexed | 2024-07-04T05:50:54Z |
| publishDate | 2013 |
| record_format | eprints |
| spelling | uum-128142014-12-09T09:59:18Z https://repo.uum.edu.my/id/eprint/12814/ Simulated annealing with probabilistic analysis for solving traveling salesman problems Hong, Pei Yee Lim, Yai Fung Ramli, Razamin Khalid, Ruzelan QA76 Computer software Simulated Annealing (SA) is a widely used meta-heuristic that was inspired from the annealing process of recrystallization of metals.Therefore, the efficiency of SA is highly affected by the annealing schedule. As a result, in this paper, we presented an empirical work to provide a comparable annealing schedule to solve symmetric traveling salesman problems (TSP).Randomized complete block design is also used in this study. The results show that different parameters do affect the efficiency of SA and thus, we propose the best found annealing schedule based on the Post Hoc test.SA was tested on seven selected benchmarked problems of symmetric TSP with the proposed annealing schedule. The performance of SA was evaluated empirically alongside with benchmark solutions and simple analysis to validate the quality of solutions.Computational results show that the proposed annealing schedule provides a good quality of solution. 2013 Conference or Workshop Item PeerReviewed Hong, Pei Yee and Lim, Yai Fung and Ramli, Razamin and Khalid, Ruzelan (2013) Simulated annealing with probabilistic analysis for solving traveling salesman problems. In: Proceedings of the International Conference on Mathematical Sciences and Statistics (ICMSS2013), 5–7 February 2013, Kuala Lumpur, Malaysia. http://dx.doi.org/10.1063/1.4823968 doi:10.1063/1.4823968 doi:10.1063/1.4823968 |
| spellingShingle | QA76 Computer software Hong, Pei Yee Lim, Yai Fung Ramli, Razamin Khalid, Ruzelan Simulated annealing with probabilistic analysis for solving traveling salesman problems |
| title | Simulated annealing with probabilistic analysis for solving traveling salesman problems |
| title_full | Simulated annealing with probabilistic analysis for solving traveling salesman problems |
| title_fullStr | Simulated annealing with probabilistic analysis for solving traveling salesman problems |
| title_full_unstemmed | Simulated annealing with probabilistic analysis for solving traveling salesman problems |
| title_short | Simulated annealing with probabilistic analysis for solving traveling salesman problems |
| title_sort | simulated annealing with probabilistic analysis for solving traveling salesman problems |
| topic | QA76 Computer software |
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