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Real-world optimization problems often consist of several NP-hard optimization problems that interact with each other. The goal of this paper is to provide a benchmark suite that promotes a research of the interaction between problems and their mutual influence. We establish a comprehensive benchmark suite for the traveling thief problem (TTP) which combines the traveling salesman problem and the knapsack problem. Our benchmark suite builds on common benchmarks for the two sub-problems which grant a basis to examine the potential hardness imposed by combining the two classical problems. Furthermore, we present some simple heuristics for TTP and their results on our benchmark suite.