Experimental investigation of heuristics for resource-constrained project scheduling: An update
By Rainer Kolisch, Sönke Hartmann. European Journal of Operational Research, 2006
809 citations recorded by the source corpus.
Subfields: Industrial and Manufacturing Engineering, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/febe457285d5247cd60c3bdb9e3e3890ef9aead1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Industrial and Manufacturing Engineering
- Dirk Briskorn
- Albert Y. S. Lam
- Victor O. K. Li
- Mario Vanhoucke
- Vincent Van Peteghem
- Jan Weglarz
- Grzegorz Waligóra
- Joanna Józefowska
In Management Science and Operations Research
- Dirk Briskorn
- Mario Vanhoucke
- Vincent Van Peteghem
- Victor O. K. Li
- Albert Y. S. Lam
- Jan Weglarz
- Grzegorz Waligóra
- Joanna Józefowska
Citations in the corpus
- A genetic algorithm for the preemptive and non-preemptive multi-mode resource-constrained project scheduling problem (2010, background): “As Kolisch and Hartmann (2006) stated, one schedule corresponds to (at most) one start time assignment per activity, as done by a SGS.”
- A survey of variants and extensions of the resource-constrained project scheduling problem (2010, methodology): “Those papers focus on methods for the RCPSP (see Hartmann and Kolisch [81], Kolisch and Hartmann [108, 109]) and a few common variants (see Brucker [29], Brucker et al. [31], Herroelen et al. [88], Herroelen [85], Kolisch and Padman [111], Özdamar and Ulusoy [146] and Tavares [172]).”
- Chemical-Reaction-Inspired Metaheuristic for Optimization (2010, methodology): “surveys about the heuristics on solving RCPSP can be found in [43] and [44].”
- Project scheduling with finite or infinite number of activity processing modes - A survey (2011, background): “Hartmann and Kolisch (2000) and Kolisch and Hartmann (2006) provide an extensive comparison of computational results obtained by the best heuristic algorithms known to date.”