A competitive analysis approach for route choice with uncertain travel times and blocked nodes

Wu, Weiqi; Ma, Weimin; Yan, Yang; Wang, Ke

doi:10.1007/s12652-018-0780-9

Cited by 2 publications

(1 citation statement)

References 31 publications

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“…The work Du et al (2019) has drawn a conclusion about making healthy travel for tourism which is a recent thrust point for many researchers. Similar works have been done by some researchers where different domains of travelling salesman problems and vehicle routing problems have been discussed (Ni et al, 2017;Avila-Torres et al, 2018;Rainer et al, 2018;Wu et al, 2019) and also in Zhang et al (2019), fuzzy logic has been used for multi-attribute decision making.…”

Section: Literature Reviewmentioning

confidence: 73%

Bi-objective covering salesman problem with uncertainty

Tripathy

2023

J. Decis. Anal. Int. Comp.

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Humanitarian relief transportation and mass fatality management activities are the most strenuous tasks after a natural or artificial disaster. A feasible and realistic transport model is essential for accomplishing the tasks in a planned way. Covering Salesman Problem (CSP) is a variant of Traveling Salesman Problem (TSP) which has been used in many application areas, including disaster management. In this paper, we consider a bi-objective CSP in an uncertain environment where Interval Type 2 fuzzy numbers represent the costs of the edges. A new local search technique is introduced in the memetic algorithm, which has been used to solve the problem. A computational experiment on a set of instances indicates the effectiveness of the introduced local search technique along with the proposed methodology.

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