A Selection Hyper-Heuristic Algorithm for Multiobjective Dynamic Economic and Environmental Load Dispatch

Table 2

Optimal results for Case 1 (optimal cost).

H	P1	P2	P3	P4	P5	PL	Ec ($)	Em (lb)
1	20.24	98.62	30.00	125.04	139.91	3.82	1250.56	546.67
2	10.00	97.91	66.84	124.79	139.63	4.13	1425.15	534.83
3	10.00	98.41	106.83	124.89	139.76	4.78	1392.40	558.72
4	25.80	98.53	112.78	124.91	173.81	5.91	1732.18	682.12
5	19.31	98.51	112.68	124.84	209.36	6.63	1721.24	845.55
6	49.31	99.20	112.71	124.94	229.59	7.85	1785.23	977.50
7	68.80	98.43	112.66	124.89	229.52	8.31	1799.13	1002.70
8	74.99	98.51	112.67	147.37	229.53	9.05	1980.10	1053.38
9	62.16	98.45	112.65	197.37	229.53	10.12	2046.26	1152.18
10	63.96	98.57	112.71	209.81	229.51	10.56	1997.11	1194.64
11	74.51	98.50	112.67	209.81	235.47	11.04	2050.82	1251.31
12	74.98	98.52	112.67	180.08	285.45	11.77	2412.73	1570.83
13	73.53	98.54	112.67	130.08	300.00	10.77	2150.49	1624.19
14	64.27	98.51	112.67	124.90	300.00	10.37	2106.36	1599.32
15	34.27	98.52	112.68	124.89	292.92	9.34	2047.42	1486.71
16	10.00	96.91	112.65	124.90	242.92	7.28	1711.12	1046.39
17	10.00	92.79	107.59	124.88	229.52	6.71	1618.85	943.40
18	35.87	98.57	113.09	138.69	229.56	7.86	1854.71	987.96
19	34.05	98.48	112.50	188.67	229.52	9.14	1998.32	1098.70
20	64.05	98.54	112.67	209.74	229.51	10.56	1996.98	1194.40
21	39.29	98.59	112.68	209.79	229.53	9.90	1944.92	1166.62
22	10.00	96.86	112.61	209.82	183.54	7.91	1874.26	920.06
23	10.00	66.86	106.92	209.74	139.59	6.01	1651.80	693.75
24	10.02	36.86	71.38	209.82	139.76	4.80	1584.27	641.47
Total						194.61	44132	24773