Selection of Multimode Resource-Constrained Project Scheduling Scheme Based on DEA Method

Table 3

Results of the proposed project by a genetic algorithm.

No.	Duration (d)	Quality	Cost	No.	Duration (d)	Quality	Cost
1	764.3256	0.8273	123.2532	17	739.9256	0.7696	125.6698
2	731.4268	0.8028	128.5642	18	764.723	0.7995	121.6883
3	764.3256	0.8273	123.2532	19	789.7572	0.8268	118.8704
4	731.4268	0.8028	128.5642	20	808.3605	0.8437	118.6849
5	764.3256	0.8273	123.2532	21	858.8132	0.848	113.3372
6	765.7595	0.8283	123.1657	22	713.965	0.7031	133.9032
7	716.4676	0.7845	130.8325	23	738.5133	0.7423	127.0581
8	736.8615	0.805	127.0508	24	780.8691	0.7696	120.6025
9	765.7595	0.8283	123.1657	25	798.7724	0.7971	117.7562
10	808.3605	0.8437	118.6849	26	823.8781	0.8236	115.4423
11	710.9173	0.7682	131.8811	27	855.7369	0.8473	113.5001
12	733.924	0.8003	126.9617	28	897.97	0.8542	112.2478
13	760.7047	0.822	123.3892	29	713.965	0.7031	133.9032
14	783.6034	0.8284	120.4722	30	734.3908	0.7266	128.9113
15	808.3605	0.8437	118.6849	31	766.0741	0.7589	123.6714
16	710.1831	0.7341	131.9792	32	791.3508	0.7735	119.4027

The genetic algorithm eliminated dominated solutions. The results distributions are depicted in Figures 2–4.