Preventive Maintenance Scheduling for Multicogeneration Plants with Production Constraints Using Genetic Algorithms

Table 1

Summary results of the computational experiments.

Plant type		Electricity (ave = 1974.04)						Water (avw = 118.31)
Crossover operator		2-point			4-point			2-point			4-point
NM	NB size	ItIn	Best solution	CPU	ItIn	Best solution	CPU	ItIn	Best solution	CPU	ItIn	Best solution	CPU
100	10%	60	101.334	118	10	100.401	93	20	4.07	108	50	3.98	87
	20%	100	101.305	71	10	102.518	119	10	4.07	83	40	4.07	75
	30%	40	105.403	153	10	101.624	79	20	4.348	111	40	4.348	79
	40%	50	104.281	75	100	102.66	67	100	4.206	80	60	4.25	57
	50%	10	104.422	112	30	104.591	145	40	4.116	74	100	4.348	106
	Rnd	20	104.422	83	30	103.63	83	40	4.206	73	30	4.116	74
250	10%	10	99.489	123	60	97.639	107	20	4.024	72	60	3.978	90
	20%	40	101.131	124	20	103.403	83	10	4.217	102	50	4.348	76
	30%	60	105.793	85	50	102.804	133	10	4.161	147	30	4.206	75
	40%	20	101.16	145	100	100.84	147	50	4.348	79	20	4.261	82
	50%	30	104.309	112	40	101.769	115	60	4.307	180	40	4.024	123
	Rnd	60	105.849	87	20	102.518	150	60	4.217	120	60	4.441	91
500	10%	10	102.288	119	100	101.827	114	40	4.024	139	50	3.978	78
	20%	40	103.8	98	100	101.595	82	10	4.345	164	50	4.07	80
	30%	20	102.23	147	100	101.335	81	40	4.024	131	60	4.206	84
	40%	30	102.66	107	20	104.984	88	60	4.348	87	100	4.39	75
	50%	50	103.772	82	10	102.058	129	30	4.426	201	10	4.305	122
	Rnd	40	105.292	98	100	103.061	71	30	4.116	105	40	4.116	94

The gap average of electricity = 1974.04.
The gap average of water = 118.31.
Best solution is related to fitness value.
CPU in seconds.