Comparison of Multiobjective Evolutionary Algorithms for Operations Scheduling under Machine Availability Constraints

Table 2

Parameters and characteristics of the experiments.

	C_1; 15×20, 157 op.	C_2; 20×20, 242 op.	C_3; 20×25, 412 op.	C_4; 25×25, 597 op.
Inicialization	Random	Random	Random	Random
Representation	Binary	Binary	Binary	Binary
Number of genes	20	20	25	25
Size of gene	22	62	62	84
Size of chromosome	820	1240	1550	2100
Size of population	50	50	100	100
Generations	1000	1000	1000	1000
Crossover type	Uniform	Uniform	Uniform	Uniform
Probability of crossover	0.85	0.85	0.85	0.85
Mutation type	Alterate	Alterate	Alterate	Alterate
Mutated alleles	82	124	155	210
Probability of mutation	0.05	0.05	0.05	0.05
Number of objectives	3	3	3	3
Number of runs	30	30	30	30
Buffer limits	0–14	0–19	0–19	0–24