2016
DOI: 10.1016/j.dib.2016.06.067
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Benchmark dataset for undirected and Mixed Capacitated Arc Routing Problems under Time restrictions with Intermediate Facilities

Abstract: In this article we present benchmark datasets for the Mixed Capacitated Arc Routing Problem under Time restrictions with Intermediate Facilities (MCARPTIF). The problem is a generalisation of the Capacitated Arc Routing Problem (CARP), and closely represents waste collection routing. Four different test sets are presented, each consisting of multiple instance files, and which can be used to benchmark different solution approaches for the MCARPTIF. An in-depth description of the datasets can be found in “Constr… Show more

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Cited by 9 publications
(12 citation statements)
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“…Vehicles must collect all of the waste types. All of the benchmark instances used in this study are available at: http://www.uv.es/belengue/mcarp/ (Willemse and Joubert, 2016c). In this data set, waste types are one.…”
Section: Computational Resultsmentioning
confidence: 99%
“…Vehicles must collect all of the waste types. All of the benchmark instances used in this study are available at: http://www.uv.es/belengue/mcarp/ (Willemse and Joubert, 2016c). In this data set, waste types are one.…”
Section: Computational Resultsmentioning
confidence: 99%
“…Two sets of MCAPRTIF benchmark sets developed in [14] were used for our tests. The first set, Lpr-IF, is based on the lpr MCARP set of Belenguer et al [2], and the second set, referred to as Cen-IF, is based on actual road networks and contains some of the largest arc routing instances currently available.…”
Section: Computational Resultsmentioning
confidence: 99%
“…A hybrid adaptive search large neighborhood with whale optimization algorithm (ALNS-WOA) was proposed by Mofid-Nakhaee and Barzinpour (2019) to solve homogenous single compartment vehicle (SCV) and multi-compartment vehicle (MCV) with intermediate facilities in WCRP to minimize total cost. The performance of the proposed algorithm was compared to that of adaptive large neighborhood search algorithm (ALNS) and General Algebraic Modeling System software through testing with the benchmark instances adapted from Willemse and Joubert (2016). Results show that ALNS-WOA outperforms ALNS in terms of solution quality while the computational time of ALNS-WOA is higher than ALNS.…”
Section: Literature Review and Wcrp Model Classificationmentioning
confidence: 99%