A Novel Memetic Algorithm Based on Decomposition for Multiobjective Flexible Job Shop Scheduling Problem

Table 2

Parameter settings of the proposed MOMAD algorithm.

Parameters	Values
Population size ()	120
Crossover probability ()	1.0
Mutation probability ()	0.1
Neighborhood size ()
Controls parameters ()	0.9
Maximal replacing number ()	1
Division ()	14
Local search probability ()	0.1
Number of weight vector cluster ()
Maximal iterations of local search ()	50