Improving the Fine-Tuning of Metaheuristics: An Approach Combining Design of Experiments and Racing Algorithms

Table 4

Statistics of the fine-tuning approaches for the metaheuristic SA.

Inst.
Berlin52	0.00	98	0.00	60
St70	1.48	190	1.63	178
Rat99	2.73	260	5.53	243
Rd100	1.78	263	3.67	245
Lin105	0.83	266	1.96	256
Pr124	1.66	285	1.84	271
Bier127	3.12	293	3.40	292
Ch130	2.39	297	4.66	299
KroA200	7.91	300	8.49	299
Ts225	3.23	300	5.32	299
	2.51	255	3.65	244
	2.04	61	2.33	71