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Dataset for Benchmarking the Swallow-Bat Algorithm on a Threat-Aware Container Truck Routing Problem

Domain:

mobilitypeace and security

Record type:

dataset
Creator:
NDI
Editor:
ZhaFom
Publisher:
Men
Host:avatar
This dataset provides comprehensive benchmark instances for threat-aware container truck routing problems. It includes three modified VRP benchmark instances (21, 33, and 51 customers) enhanced with static spatial threat zones, plus a real-world East African Community transport corridors case study with 25 cities and 16 evidence-based threat zones. The dataset contains complete problem specifications, threat zone definitions, travel cost matrices from OSRM/OpenStreetMap, and performance metrics for six metaheuristic algorithms across 30 independent runs. Data formats include CSV files for node data, threat zones, and travel matrices, plus text files for problem parameters.

Visit

data.mendeley.com

Tags

MetaheuristicsVehicle Routing ProblemMulti-Objective OptimizationDynamic RoutingTransportation in AfricaHazardous Material Transportation Risk AssessmentDecision Making under UncertaintyFlocking BehaviorSwarm Intelligence Algorithm

Licenses

Creative Commons Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0

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