The Improved Binary-Real Coded Shuffled Frog Leaping Algorithm for Solving Short-Term Hydropower Generation Scheduling Problem in Large Hydropower Station

Table 7

The advantage of IBR-SFLA compared between four algorithms corresponding to water head (75, 88, 107m).

Water head	Algorithm	Algorithm compared	Water consumption				Simulation time		Standard deviation
			Reduction(10^8m^3)		Reduction (%)				(STD)
			Mean	Optimum	Mean	Optimum	Reduction; (s)	Reduction rate	Reduction	Reduction rate
75m	IBR-SFLA	LAGA	1.14E-01	1.06E-01	1.06%	0.99%	160	71.43%	4.44E-03	49.93%
		EACO	5.32E-02	4.74E-02	0.50%	0.44%	41	39.05%	4.12E-03	48.04%
		CGSA	4.32E-02	3.19E-02	0.40%	0.30%	29	31.18%	7.50E-03	62.72%
		FA	3.68E-02	2.81E-02	0.35%	0.26%	12	15.79%	5.04E-03	53.07%
		IBCO	2.99E-02	2.29E-02	0.28%	0.21%	18	21.95%	3.68E-03	45.22%
88m	IBR-SFLA	LAGA	1.22E-01	1.13E-01	1.34%	1.24%	155	71.10%	2.10E-03	37.58%
		EACO	5.61E-02	5.01E-02	0.62%	0.56%	37	37.00%	5.19E-03	59.77%
		CGSA	5.00E-02	3.96E-02	0.56%	0.44%	29	31.52%	5.64E-03	61.77%
		FA	3.42E-02	2.72E-02	0.38%	0.30%	12	16.00%	3.44E-03	49.61%
		IBCO	4.24E-02	3.44E-02	0.47%	0.38%	16	20.25%	4.58E-03	56.76%
107m	IBR-SFLA	LAGA	7.52E-02	6.97E-02	0.99%	0.92%	154	70.00%	8.13E-03	57.37%
		EACO	5.68E-02	5.05E-02	0.75%	0.67%	36	35.29%	3.37E-03	35.83%
		CGSA	5.11E-02	4.78E-02	0.68%	0.64%	29	30.53%	2.58E-03	29.91%
		FA	3.62E-02	2.82E-02	0.48%	0.38%	12	15.38%	3.51E-03	36.76%
		IBCO	4.44E-02	4.14E-02	0.59%	0.55%	18	21.43%	2.34E-03	27.95%