A Generalized National Planning Approach for Admission Capacity in Higher Education: A Nonlinear Integer Goal Programming Model with a Novel Differential Evolution Algorithm
Algorithm 2
Description of COMDE algorithm.
() Begin
() , GEN = 2500, NP = 200.
() Create a random initial population ,
() Evaluate , ,
() Determine and based on and , ,
() For to GEN Do
() CR = 0.95 + (0.5–0.95) ⋅ (/GEN)4
()
() For to NP Do
() If ( ≤ ) Then (Use New Directed Mutation Scheme)
() Select randomly
()
() =
() For to Do
() If ( < CR or ) Then
()
() Else
()
() End If
() End For
() Else (Use Modified Basic Mutation Scheme)
() Select randomly
()
()
() For to Do
() If ( < CR or ) Then
()
() Else
()
() End If
() End For
() End If
() Verify boundary constraints
() If ( is better than (based on the three selection criteria)) Then
