2017
DOI: 10.32890/jict2018.17.1.4
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Enhanced Heuristic Algorithms With a Vehicle Travel Speed Model for Time-Dependent Vehicle Routing: A Waste Collection Problem

Abstract: Rahman (2018). Enhanced heuristic algorithms with a vehicle travel speed model for time-dependent vehicle routing: A waste collection problem.

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Cited by 3 publications
(4 citation statements)
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References 26 publications
(50 reference statements)
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“…A study from Mat et al (2018b) applied current initial solution (CIS) and DIC to solve WCVRP. The proposed algorithms were applied to solve the benchmark instances from Kim et al (2006) with the objective to minimize total travel distance.…”
Section: Waste Collection Vehicle Routing Problemmentioning
confidence: 99%
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“…A study from Mat et al (2018b) applied current initial solution (CIS) and DIC to solve WCVRP. The proposed algorithms were applied to solve the benchmark instances from Kim et al (2006) with the objective to minimize total travel distance.…”
Section: Waste Collection Vehicle Routing Problemmentioning
confidence: 99%
“…Similarly to VRP, WCRP has different variations based on the type of waste to be collected, for example, residential waste (usually produced in suburban areas), commercial waste (usually generated by restaurants, shopping malls, and other commercial establishments), and industrial waste (produced by construction sites, large shopping malls, or downtown areas; Golden et al, 2001). There are also variations in WCRP based on the type of constraints considered, such as WCRP with time windows (Campos and Arroyo, 2017; Sackmann et al, 2017), time-dependent WCRP (Mat et al, 2018b), WCRP with lunch-break and driver rest period constraint (Kim et al, 2006), WCRP with different fleet types (Hauge et al, 2014), and WCRP with a fixed dumpsite or with multiple dumpsites (Sackmann et al, 2017), in which, after giving service, the vehicle is not required to return to the depot from where it departed.…”
Section: Introductionmentioning
confidence: 99%
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“…For example, dataset 102 has two candidate landfill sites. Thus, the nearest greedy (NG) technique adopted from Mat et al, 2018) was executed twice with varied distance and travel time at each execution. In the first run, distance and travel time between the nodes were used based on the coordinate of candidate landfill 1.…”
Section: The New Approachmentioning
confidence: 99%