M. A. H., Akhand and Shahina, Akter and M. A., Rashid (2015) Velocity tentative PSO: An optimal velocity implementation based particle swarm optimization to solve traveling salesman problem. IAENG International Journal of Computer Science, 42 (3). pp. 1-12. ISSN 1819656X
Image
FH02-FSTK-15-03714.jpg Restricted to Registered users only Download (181kB) |
Abstract
This paper introduces an effective Particle Swarm Optimization (PSO) based algorithm for solving Traveling Salesman Problem (TSP). Among prominent PSO based methods, the proposed Velocity Tentative PSO (VTPSO) considers Swap Sequence (SS) for velocity operation of the particles. A velocity SS is a collection of several Swap Operators (SOs) where each one indicates two positions in a tour those might be swapped. The existing methods apply all the SOs of the calculated SS on a solution to get a new solution. Conversely, the proposed VTPSO considers the calculated SS as the tentative velocity and checks the tentative solutions when applies the SOs one after another sequentially. The best tentative tour with a portion of SS is considered as the next solution point of a particle in VTPSO. Such intermediate tentative tour evaluation not only helps to get better solution but also reduces overall computational time. The experimental results on a large number of benchmark TSPs reveal that the proposed VTPSO is able to produce better tour compared to other prominent existing methods.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Swap Sequence, Partial Search, Particle Swarm Optimization, Traveling Salesman Problem |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Innovative Design & Technology |
Depositing User: | Syahmi Manaf |
Date Deposited: | 13 Sep 2022 05:43 |
Last Modified: | 13 Sep 2022 05:43 |
URI: | http://eprints.unisza.edu.my/id/eprint/6565 |
Actions (login required)
View Item |