PSPLIB -- a project scheduling problem library. We present a set of benchmark instances for the evaluation of solution procedures for single- and multi-mode resource-constrained project scheduling problems. The instances have been systematically generated by the standard project generator ProGen. They are characterized by the input-parameters of ProGen. The entire benchmark set including its detailed characterization and the best solutions known so-far are available on a public ftp-site. Hence, researchers can download the benchmark sets they need for the evaluation of their algorithms. Additionally, they can make available new results. Depending on the progress made in the field, the instance library will be continuously enlarged and new results will be made accessible. This should be a valuable and driving source for further improvements in the area of project type scheduling.

References in zbMATH (referenced in 185 articles , 1 standard article )

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  1. Baptiste, Philippe; Bonifas, Nicolas: Redundant cumulative constraints to compute preemptive bounds (2018)
  2. Carlier, J.; Moukrim, A.; Sahli, A.: Lower bounds for the event scheduling problem with consumption and production of resources (2018)
  3. Dolgui, Alexandre; Kovalev, Sergey; Kovalyov, Mikhail Y.; Malyutin, Sergey; Soukhal, Ameur: Optimal workforce assignment to operations of a paced assembly line (2018)
  4. Gerhards, Patrick; Stürck, Christian: A hybrid metaheuristic for the multi-mode resource investment problem with tardiness penalty (2018)
  5. Muñoz, Gonzalo; Espinoza, Daniel; Goycoolea, Marcos; Moreno, Eduardo; Queyranne, Maurice; Letelier, Orlando Rivera: A study of the Bienstock-Zuckerberg algorithm: applications in mining and resource constrained project scheduling (2018)
  6. Tesch, Alexander: Improved compact models for the resource-constrained project scheduling problem (2018)
  7. Van Cauwelaert, Sascha; Lombardi, Michele; Schaus, Pierre: How efficient is a global constraint in practice? A fair experimental framework (2018)
  8. Goncharov, E.N.; Leonov, Valentin V.: Genetic algorithm for the resource-constrained project scheduling problem (2017)
  9. Palacio, Juan D.; Larrea, Olga L.: A lexicographic approach to the robust resource-constrained project scheduling problem (2017)
  10. Zoraghi, Nima; Shahsavar, Aria; Abbasi, Babak; Van Peteghem, Vincent: Multi-mode resource-constrained project scheduling problem with material ordering under bonus-penalty policies (2017)
  11. Bianco, Lucio; Caramia, Massimiliano; Giordani, Stefano: Resource levelling in project scheduling with generalized precedence relationships and variable execution intensities (2016)
  12. Faghih-Mohammadi, Fatemeh; Seifi, Abbas; Khalighi-Sikaroudi, Mohammad: A modified modeling approach and a heuristic procedure for the multi-mode resource constrained project scheduling problem with activity splitting (2016)
  13. He, Jieguang; Chen, Xindu; Chen, Xin: A filter-and-fan approach with adaptive neighborhood switching for resource-constrained project scheduling (2016)
  14. Hu, Xuejun; Cui, Nanfang; Demeulemeester, Erik; Bie, Li: Incorporation of activity sensitivity measures into buffer management to manage project schedule risk (2016) ioport
  15. Joshi, Kanchan; Jain, Karuna; Bilolikar, Vijay: A VNS-GA-based hybrid metaheuristics for resource constrained project scheduling problem (2016)
  16. Kreter, Stefan; Rieck, Julia; Zimmermann, Jürgen: Models and solution procedures for the resource-constrained project scheduling problem with general temporal constraints and calendars (2016)
  17. Lamas, Patricio; Demeulemeester, Erik: A purely proactive scheduling procedure for the resource-constrained project scheduling problem with stochastic activity durations (2016)
  18. Li, Hongbo; Demeulemeester, Erik: A genetic algorithm for the robust resource leveling problem (2016)
  19. Poppenborg, Jens; Knust, Sigrid: A flow-based tabu search algorithm for the RCPSP with transfer times (2016)
  20. Salazar-García, Carlos A.; Montoya-Torres, Jairo R.; Alfonso-Lizarazo, Edgar H.: Scheduling of multiple projects with constrained resources and preemption (2016)

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