Exact Approaches for the Travelling Thief Problem
Junhua Wu, Markus Wagner, Sergey Polyakovskiy, Frank Neumann

TL;DR
This paper introduces three exact algorithms and a hybrid method for the Traveling Thief Problem, providing a benchmark to evaluate the accuracy of heuristic approaches on small instances.
Contribution
It presents the first exact solutions for TTP and compares their performance with existing heuristics to assess solution quality.
Findings
Exact algorithms successfully solve small TTP instances
Hybrid approach improves solution accuracy
Heuristics are less reliable for global optima
Abstract
Many evolutionary and constructive heuristic approaches have been introduced in order to solve the Traveling Thief Problem (TTP). However, the accuracy of such approaches is unknown due to their inability to find global optima. In this paper, we propose three exact algorithms and a hybrid approach to the TTP. We compare these with state-of-the-art approaches to gather a comprehensive overview on the accuracy of heuristic methods for solving small TTP instances.
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Taxonomy
TopicsMetaheuristic Optimization Algorithms Research · Vehicle Routing Optimization Methods · Evolutionary Algorithms and Applications
