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To gain insight into how challenging these problems are to solve, a computational study is performed with randomly generated instances and using a general-purpose solver.
We establish the efficacy of the column generation based rounding scheme on randomly generated instances.
Computational tests have provided good results on several generated instances.
For each problem set, we consider ten randomly generated instances.
We present computational results on a large set of randomly generated instances.
We present an illustrative real-world case study and some randomly generated instances for computational applications.
Computational results on randomly generated instances and real-life datasets are also presented.
These are compared on several randomly generated instances with |V| ⩽ 1002 and |E| ⩽ 1930.
Extensive computational experiments on a set of randomly generated instances indicate the effectiveness of the algorithm.
Numerical experiments on randomly generated instances demonstrate the effectiveness of the method.
Experiments were conducted using both randomly generated instances and real data.
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