A Multiagent Evolutionary Algorithm for the Resource-Constrained Project Portfolio Selection and Scheduling Problem

Table 2

Profit data for problem instances.

Number	Cell	Project pool	Problem size	Algorithm
				Ranking	MKP_ranking	MAEA
1	1	PAT10_1	10	7076.77	7076.77	7754.63
2	1	PAT10_2	10	6343.67	6343.67	7128.61
3	1	PAT10_3	10	7700.29	7700.29	8109.66
4	1	PAT20_1	20	13512.07	13512.07	14987.3
5	1	PAT20_2	20	10510.92	10510.92	11556.38
6	1	PAT20_3	20	11672.9	11672.9	12520.37
7	2	PAT10_1	10	6988.4	6988.4	7289.51
8	2	PAT10_2	10	6199.9	6199.9	6391.59
9	2	PAT10_3	10	7700.29	7700.29	7920.52
10	2	PAT20_1	20	12829.7	12829.7	13703.7
11	2	PAT20_2	20	10033.22	10033.22	10715.38
12	2	PAT20_3	20	11580.28	11580.28	11922.46
13	3	PAT10_1	10	4316.8	4316.8	4871.05
14	3	PAT10_2	10	3850.56	3850.56	4300.49
15	3	PAT10_3	10	4320.24	4320.24	5381.88
16	3	PAT20_1	20	7522.15	7558.27	9288.56
17	3	PAT20_2	20	6323.93	6323.93	7086.58
18	3	PAT20_3	20	7902.9	7902.9	8383.34
19	4	PAT10_1	10	3942.85	3942.85	4441.45
20	4	PAT10_2	10	3850.56	3850.56	3850.56
21	4	PAT10_3	10	4320.24	4320.24	4601.84
22	4	PAT20_1	20	7464.19	7485.53	8472.36
23	4	PAT20_2	20	6176.77	6176.77	6273.44
24	4	PAT20_3	20	7544.8	7544.8	7945.27
Average				7486.85	7489.24	8120.70