Applied Network Science

Table 2 Multi-objective optimisation performance metrics on three problem instances

From: Multi-objective optimisation of reliable product-plant network configuration

Algorithm	Problem instance	Solution space	Number of nodes	CPU (ms)	HV	GD	Spread
NSGA2	1	3025	6	63,221.8	0.824	0.003	0.771
	2	29,241	10	65,144.2	0.855	0.006	0.670
	3	164,836	15	72,203.8	0.699	0.017	0.878
SPEA2	1	3025	6	67,348.8	0.800	0.004	0.841
	2	29,241	10	69,770.6	0.548	0.008	0.720
	3	164,836	15	74,207.0	0.642	0.029	0.820
PAES	1	3025	6	59,784.6	0.433	0.084	1.560
	2	29,241	10	73,017.0	0.146	0.026	1.716
	3	164,836	15	71,253.8	0.399	0.130	1.481

Each experiment has been run 30 times. GA parameters are kept same across

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