Route planning also known as pathfinding is one of the key elements in logistics, mobile robotics and other applications, where engineers face many conflicting objectives. However, most of the current route planning algorithms consider only up to three objectives. In this paper, we propose a scalable many-objective benchmark problem covering most of the important features for routing applications based on real-world data. We define five objective functions representing distance, traveling time, delays caused by accidents, and two route specific features such as curvature and elevation.

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[1] Jens Weise, Sanaz Mostaghim, "Scalable Many-Objective Pathfinding Benchmark Suite Pareto-fronts and Sets", IEEE Dataport, 2020. [Online]. Available: http://dx.doi.org/10.21227/ff8m-fr60. Accessed: May. 23, 2024.
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doi = {10.21227/ff8m-fr60},
url = {http://dx.doi.org/10.21227/ff8m-fr60},
author = {Jens Weise; Sanaz Mostaghim },
publisher = {IEEE Dataport},
title = {Scalable Many-Objective Pathfinding Benchmark Suite Pareto-fronts and Sets},
year = {2020} }
TY - DATA
T1 - Scalable Many-Objective Pathfinding Benchmark Suite Pareto-fronts and Sets
AU - Jens Weise; Sanaz Mostaghim
PY - 2020
PB - IEEE Dataport
UR - 10.21227/ff8m-fr60
ER -
Jens Weise, Sanaz Mostaghim. (2020). Scalable Many-Objective Pathfinding Benchmark Suite Pareto-fronts and Sets. IEEE Dataport. http://dx.doi.org/10.21227/ff8m-fr60
Jens Weise, Sanaz Mostaghim, 2020. Scalable Many-Objective Pathfinding Benchmark Suite Pareto-fronts and Sets. Available at: http://dx.doi.org/10.21227/ff8m-fr60.
Jens Weise, Sanaz Mostaghim. (2020). "Scalable Many-Objective Pathfinding Benchmark Suite Pareto-fronts and Sets." Web.
1. Jens Weise, Sanaz Mostaghim. Scalable Many-Objective Pathfinding Benchmark Suite Pareto-fronts and Sets [Internet]. IEEE Dataport; 2020. Available from : http://dx.doi.org/10.21227/ff8m-fr60
Jens Weise, Sanaz Mostaghim. "Scalable Many-Objective Pathfinding Benchmark Suite Pareto-fronts and Sets." doi: 10.21227/ff8m-fr60