Ants can orienteer a thief in their robbery
We address the Thief Orienteering Problem (ThOP), a multi-component problem that combines features of two classic combinatorial optimization problems, namely the Orienteering Problem and Knapsack Problem. Due to the given time constraint and the interaction of the load-dependent movement speed with the chosen route, the ThOP is complex and challenging. We propose a two-phase, swarm-intelligence based approach together with a new randomized packing heuristic. To identify the impact of the respective components, we use automated algorithm configuration. The resulting configurations outperform existing work on more than 90 improvement of over 300
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