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

Table 4

Results obtained by CRO, GA, and HS in Max-Ones problems of increasing size. The results are shown in best/average/standard deviation over 30 runs of the algorithms.

𝑛	CRO	GA	HS
50	100/100/0	100/100/0	100/100/0
100	100/100/0	100/100/0	98/95.67/0.92
150	100/100/0	100/100/0	94.67/90.84/1.13
200	100/99.98/9.12⋅10^−4	100/99.93/0.17	90/87.32/0.88
250	100/99.97/7.3⋅10^−4	100/99.81/0.25	86.80/84.64/1.04
300	100/99.96 /8.45⋅10^−4	100/99.61/0.39	83.67/82.0700/0.62
350	100/99.96/9.8⋅10^−4	100/99.21/0.46	81.4300/80.03/0.71
400	100/99.95/7.3⋅10^−4	99.50/98.67/0.58	79.50/78.45/1.04
450	100/99.93/0.13	99.55/98.11/0.67	78.67/76.97/0.99
500	100/99.92/0.1	98.60/97.04/0.75	78/75.99/0.69