An enhanced swap sequence-based particle swarm optimization algorithm to solve TSP
The Traveling Salesman Problem (TSP) is a combinatorial optimization problem that is useful in a number of applications. Since there is no known polynomial-time algorithm for solving large scale TSP, metaheuristic algorithms such as Ant Colony Optimization (ACO), Bee Colony Optimization (BCO), and P...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | en en |
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Institute of Electrical and Electronics Engineers
2021
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| Online Access: | https://eprints.ums.edu.my/id/eprint/33368/5/An%20enhanced%20swap%20sequence-based%20particle%20swarm%20optimization%20algorithm%20to%20solve%20tsp.ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/33368/2/An%20enhanced%20swap%20sequence-based%20particle%20swarm%20optimization%20algorithm%20to%20solve%20tsp.pdf https://eprints.ums.edu.my/id/eprint/33368/ https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9638688 https://doi.10.1109/ACCESS.2021.3133493 |
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https://eprints.ums.edu.my/id/eprint/33368/5/An%20enhanced%20swap%20sequence-based%20particle%20swarm%20optimization%20algorithm%20to%20solve%20tsp.ABSTRACT.pdfhttps://eprints.ums.edu.my/id/eprint/33368/2/An%20enhanced%20swap%20sequence-based%20particle%20swarm%20optimization%20algorithm%20to%20solve%20tsp.pdf
https://eprints.ums.edu.my/id/eprint/33368/
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9638688
https://doi.10.1109/ACCESS.2021.3133493
