An evaluation of the adequacy of project network generators with systematically sampled networks

M Vanhoucke, J Coelho, D Debels, B Maenhout… - European journal of …, 2008 - Elsevier
M Vanhoucke, J Coelho, D Debels, B Maenhout, LV Tavares
European journal of operational research, 2008Elsevier
This paper evaluates and compares different network generators to generate project
scheduling problem instances based on indicators measuring the topological network
structure. We review six topological network indicators in order to describe the detailed
structure of a project network. These indicators were originally developed by [LV Tavares, JA
Ferreira and JS Coelho, The risk of delay of a project in terms of the morphology of its
network, European Journal of Operational Research 119 (1999), 510–537] and have been …
This paper evaluates and compares different network generators to generate project scheduling problem instances based on indicators measuring the topological network structure. We review six topological network indicators in order to describe the detailed structure of a project network. These indicators were originally developed by [L.V. Tavares, J.A. Ferreira and J.S. Coelho, The risk of delay of a project in terms of the morphology of its network, European Journal of Operational Research 119 (1999), 510–537] and have been modified, or sometimes completely replaced, by alternative indicators to describe the network topology. The contribution of this paper is twofold. Firstly, we generate a large amount of different networks with four project network generators. Our general conclusions are that none of the network generators are able to capture the complete feasible domain of all networks. Additionally, each network generator covers its own network-specific domain and, consequently, contributes to the generation of data sets. Secondly, we perform computational results on the well-known resource-constrained project scheduling problem to prove that our indicators are reliable and have significant, predictive power to serve as complexity indicators.
Elsevier
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