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.
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This research article is supported by University Grant Commission of India by grant number PSW-150/14-15 (ERO).
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Roy, A., Chakraborty, G., Khan, I., Maity, S., Maiti, M. (2018). A Hybrid Heuristic for Restricted 4-Dimensional TSP (r-4DTSP). In: Kar, S., Maulik, U., Li, X. (eds) Operations Research and Optimization. FOTA 2016. Springer Proceedings in Mathematics & Statistics, vol 225. Springer, Singapore. https://doi.org/10.1007/978-981-10-7814-9_20
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DOI: https://doi.org/10.1007/978-981-10-7814-9_20
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