A Bi-level Approach for a Dynamic Multiple Traveling Salesman Problem

Abstract In this paper, we consider a routing problem with multiple dynamic targets and agents starting from a depot for which only the trajectories of the targets and depot are known. The objective is that each target is reached by exactly one agent and that all agents return to the depot in the minimum amount of time. This problem belongs to the class of dynamic multiple traveling salesman problems. We model this routing task as a bi-level problem with one leader and multiple followers: the durations required for traveling between targets are generated by solving optimal control problems on the lower level, whereas the routing of the agents on the upper level is represented by a mixed-integer nonlinear program (MINLP). Using the value functions of the lower level, the bi-level problem can be reformulated as a non-smooth, single-level MINLP. We derive sufficient conditions such that this MINLP has a global solution. Additionally, since the non-smooth MINLP cannot be solved by standard software, we propose a discretization that linearizes the program. We show that this linear problem has a solution that approximates a global solution of the MINLP. Communicated by Martin Schmidt.

Authors

Institutions

Publication Details

Journal
Journal of Optimization Theory and Applications
Published
2025-08-13
DOI
https://doi.org/10.1007/s10957-025-02800-7
Citations
2
Primary Topic
Vehicle Routing Optimization Methods
Type
article
Field-Weighted Citation Impact
2.48

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Bi-level Approach for a Dynamic Multiple Traveling Salesman Problem

Björn Martens
2 citations
Journal of Optimization Theory and Applications
Vehicle Routing Optimization Methods
2.48
article

A Bi-level Approach for a Dynamic Multiple Traveling Salesman Problem

Björn Martens
article en
2 citations

Abstract

Abstract In this paper, we consider a routing problem with multiple dynamic targets and agents starting from a depot for which only the trajectories of the targets and depot are known. The objective is that each target is reached by exactly one agent and that all agents return to the depot in the minimum amount of time. This problem belongs to the class of dynamic multiple traveling salesman problems. We model this routing task as a bi-level problem with one leader and multiple followers: the durations required for traveling between targets are generated by solving optimal control problems on the lower level, whereas the routing of the agents on the upper level is represented by a mixed-integer nonlinear program (MINLP). Using the value functions of the lower level, the bi-level problem can be reformulated as a non-smooth, single-level MINLP. We derive sufficient conditions such that this MINLP has a global solution. Additionally, since the non-smooth MINLP cannot be solved by standard software, we propose a discretization that linearizes the program. We show that this linear problem has a solution that approximates a global solution of the MINLP. Communicated by Martin Schmidt.

Journal of Optimization Theory and ApplicationsVol. 207(3)
Universität der Bundeswehr München (DE)
European Commission
Openalex Percentile: Top 9%
Vehicle Routing Optimization Methods
2.48
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.