The Coral Reefs Optimization Algorithm: A Novel Metaheuristic for Efficiently Solving Optimization Problems

Table 2

Results (mean/standard deviation) obtained in the different continuous benchmark functions tested.

Algorithm	Rosenbrock	Schwefel	Rastrigin	Griewank
CRO (G)	0.00000709/0.000005	0.000132/0.00000207	0.007154/0.003039	0.223783/0.058051
CRO (C)	0.00000722/0.000006	0.000132/0.00000158	0.006713/0.002297	0.035024/0.019209
CRO (G + C)	0.00000229/0.000001	0.000131/0.00000145	0.004304/0.001564	0.053141/0.019543
HAEA (XUG)	0.000509/0.001013	0.005599/0.011702	0.053614/0.216808	0.054955/0.029924
HAEA (XU)	0.004167/0.004887	1.362088/0.932791	0.240079/0.155614	0.530857/0.227458
HAEA (XG)	0.001322/0.003630	140.5647/123.7203	7.731156/3.223595	0.050256/0.025888
HAEA (GU)	0.000160/0.000258	201.9162/81.28619	6.320374/1.462898	1.586373/0.383703
PSO	0.00000227/0.000002	0.000134/0.00000196	0.004719/0.002319	0.05018/0.01814