Title:
A hybrid algorithm with modified Inver-over operator and genetic algorithm search for traveling salesman problem

dc.contributor.authorDharm Raj Singh
dc.contributor.authorManoj Kumar Singh
dc.contributor.authorTarkeshwar Singh
dc.date.accessioned2026-02-07T08:20:35Z
dc.date.issued2016
dc.description.abstractIn this article, we develop a novel hybrid approach to solve the traveling salesman problem (TSP). In this approach, we first initialize suboptimal solution using Nearest Neighbor (NN) tour construction method, followed modified Inver-over operator and then proposed crossover with 2-opt mutation applied to improve for optimal solution. We use 14 TSP data sets from TSPLIB to evaluate the performance of proposed hybrid method. The proposed hybrid method gives better results in terms of best and average error. In experimental results of the tests we show that the proposed hybrid method is superior to available algorithm in literature. © Springer Science+Business Media Singapore 2016.
dc.identifier.doi10.1007/978-981-10-1023-1_14
dc.identifier.isbn978-981101021-7
dc.identifier.issn21945357
dc.identifier.urihttps://doi.org/10.1007/978-981-10-1023-1_14
dc.identifier.urihttps://dl.bhu.ac.in/bhuir/handle/123456789/29908
dc.publisherSpringer Verlag
dc.subject2-opt mutation
dc.subjectBasic inver-over operator
dc.subjectCrossover operator
dc.subjectModified inver-over operator
dc.subjectTraveling salesman problem
dc.titleA hybrid algorithm with modified Inver-over operator and genetic algorithm search for traveling salesman problem
dc.typePublication
dspace.entity.typeConference paper

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