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Set 1'

Instances created using the generator, which were made to be equivalent (excluding inherent randomisation) to those created by Almeida et al. 2015.

  • Set 1'a: (100% solved) 216 instances with 22 activities, 4 skills and 10-30 resources.
  • Set 1'b: (12.5% solved) 216 instances with 42 activities, 4 skills and 20-60 resources.

Note, because we were unable to get in contact with the original creators of the instance generator and access their data, we instead generated our own set of instances with identical input parameters as their benchmark data. If the original data set is denoted by Set 1, we denote our equivalent data set by Set 1'.

The next Table summarises each of the subsets of set 1:

Set 1a Set 1b
# Instances 216 216
# Activities (n) 22 42
# Skills (l) 4 4
# Resources (m) 10-30 20-60
Network Complexity (NC) {1.5, 1.8, 2.1} {1.5, 1.8, 2.1}
Skill Factor (SF) {1, 0.75, 0.5, variable} {1, 0.75, 0.5, variable}
Modified Resource Strength (MRS) Listed below ...
# Resources an Activity Requires {1, 2, 3} {1, 2, 3, 4, 5, 6, 7}
# Skills a Resource Masters {1, 2, 3, 4} {1, 2, 3, 4}

The next Table defines the Modified Resource Strength values for each subset. For a full description of the MRS and its meaning we refer to the paper where this complexity measure was introduced: Correia et al., Project scheduling with flexible resources: formulations and inequalities (2012).

We note that the modified resource strength is calculated by the equation:

MRS = (10 x m)/(SF x l x n x n)

when SF=variable, the value 0.75 is used as an approximate average.

Set 1a Set 1b
SF=1 MRS 0.125 0.15625 0.1875 0.0625 0.078125 0.09375
m 20 25 30 40 50 60
SF=0.75,var MRS 0.125 0.16667 0.1875 0.0625 0.079167 0.09375
m 10 20 25 35 38 45
SF=0.5 MRS 0.125 0.1625 0.20833 0.0625 0.078125 0.09375
m 10 13 15 20 25 30