Abstract
In this paper, we proposed a hybridized soft computing technique to solve a restricted 4-dimensional TSP (r-4DTSP) where different paths with various numbers of conveyances are available to travel between two cities. Here, some restrictions on paths and conveyances are imposed. The algorithm is a hybridization of genetic algorithm (GA) and swap operator-based particle swarm optimization (PSO). The initial solutions are produced by proposed GA which used as swarm in PSO. The said hybrid algorithm (GA-PSO) is tested against some test functions, and efficiency of the proposed algorithm is established. The r-4DTSPs are considered with crisp costs. The models are illustrated with some numerical data.
Originalsprog | Engelsk |
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Titel | Operations Research and Optimization - FOTA 2016 |
Redaktører | Samarjit Kar, Xiang Li, Ujjwal Maulik |
Antal sider | 18 |
Forlag | Springer Publishing Company |
Publikationsdato | 2018 |
Sider | 285-302 |
ISBN (Trykt) | 9789811078132 |
DOI | |
Status | Udgivet - 2018 |
Begivenhed | 1st International Conference on Frontiers in Optimization: Theory and Applications, FOTA 2016 - Kolkatta, Indien Varighed: 24 nov. 2016 → 26 nov. 2016 |
Konference
Konference | 1st International Conference on Frontiers in Optimization: Theory and Applications, FOTA 2016 |
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Land/Område | Indien |
By | Kolkatta |
Periode | 24/11/2016 → 26/11/2016 |
Navn | Springer Proceedings in Mathematics and Statistics |
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Vol/bind | 225 |
ISSN | 2194-1009 |
Bibliografisk note
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