A genetic algorithm for the resource constrained multi-project scheduling problem

By J. Gonçalves, Jorge José de Magalhães Mendes, Maurício Resende. European Journal of Operational Research, 2008

363 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/f8e699e53da36be85e623ddbaa04d206b25ee15d

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

1. Dirk Briskorn
2. Sönke Hartmann
3. Rainer Kolisch

In Management Science and Operations Research

1. Dirk Briskorn
2. Sönke Hartmann
3. Mario Vanhoucke
4. Vincent Van Peteghem
5. Rainer Kolisch

Citations in the corpus

• A survey of variants and extensions of the resource-constrained project scheduling problem (2010, background): “[74] aim at minimizing the weighted sum of earliness and tardiness as well as the flow time of each project.”