A new multiple ant colonies optimization algorithm utilizing average pheromone evaluation mechanism
Multiple ant colonies optimization is an extension of the Ant Colony Optimization framework It offers a good opportunity to improve the ant colony optimization algorithms by encouraging the exploration of a wide area of the search space without losing the chance of exploiting the history of the se...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2008
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/11407/1/531-536-CR219.pdf |
| _version_ | 1825802825392717824 |
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| author | Aljanaby, Alaa Ku-Mahamud, Ku Ruhana Md Norwawi, Norita |
| author_facet | Aljanaby, Alaa Ku-Mahamud, Ku Ruhana Md Norwawi, Norita |
| author_sort | Aljanaby, Alaa |
| collection | UUM |
| description | Multiple ant colonies optimization is an extension of the Ant Colony Optimization framework It offers a good opportunity to improve the ant colony optimization algorithms
by encouraging the exploration of a wide
area of the search space without losing the chance of exploiting the history of the search.This paper proposes a new multiple ant colonies optimization algorithm that is based on ant colony system and utilizes ave rage
pheromone evaluation mechanism.The new algorithm divides the ants’ populations into multiple ant colonies and can be used to tackle large volume combinatorial optimization problems effectively. Computational tests show promises of the new algorithm. |
| first_indexed | 2024-07-04T05:46:57Z |
| format | Conference or Workshop Item |
| id | uum-11407 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T05:46:57Z |
| publishDate | 2008 |
| record_format | eprints |
| spelling | uum-114072017-05-03T00:46:47Z https://repo.uum.edu.my/id/eprint/11407/ A new multiple ant colonies optimization algorithm utilizing average pheromone evaluation mechanism Aljanaby, Alaa Ku-Mahamud, Ku Ruhana Md Norwawi, Norita QA Mathematics Multiple ant colonies optimization is an extension of the Ant Colony Optimization framework It offers a good opportunity to improve the ant colony optimization algorithms by encouraging the exploration of a wide area of the search space without losing the chance of exploiting the history of the search.This paper proposes a new multiple ant colonies optimization algorithm that is based on ant colony system and utilizes ave rage pheromone evaluation mechanism.The new algorithm divides the ants’ populations into multiple ant colonies and can be used to tackle large volume combinatorial optimization problems effectively. Computational tests show promises of the new algorithm. 2008-06-10 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/11407/1/531-536-CR219.pdf Aljanaby, Alaa and Ku-Mahamud, Ku Ruhana and Md Norwawi, Norita (2008) A new multiple ant colonies optimization algorithm utilizing average pheromone evaluation mechanism. In: Knowledge Management International Conference 2008 (KMICe2008), 10-12 June 2008, Langkawi, Malaysia. http://www.kmice.cms.net.my/kmice2014/updates.asp |
| spellingShingle | QA Mathematics Aljanaby, Alaa Ku-Mahamud, Ku Ruhana Md Norwawi, Norita A new multiple ant colonies optimization algorithm utilizing average pheromone evaluation mechanism |
| title | A new multiple ant colonies optimization algorithm utilizing average pheromone evaluation
mechanism |
| title_full | A new multiple ant colonies optimization algorithm utilizing average pheromone evaluation
mechanism |
| title_fullStr | A new multiple ant colonies optimization algorithm utilizing average pheromone evaluation
mechanism |
| title_full_unstemmed | A new multiple ant colonies optimization algorithm utilizing average pheromone evaluation
mechanism |
| title_short | A new multiple ant colonies optimization algorithm utilizing average pheromone evaluation
mechanism |
| title_sort | new multiple ant colonies optimization algorithm utilizing average pheromone evaluation mechanism |
| topic | QA Mathematics |
| url | https://repo.uum.edu.my/id/eprint/11407/1/531-536-CR219.pdf |
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