Multiobjective Optimized Dispatching for Integrated Energy System Based on Hierarchical Progressive Parallel NSGA-II Algorithm

Table 6

Time-consuming comparison in whole solution period of algorithms under different convergence conditions.

Number of tests	Traditional multiobjective weighting algorithm		Multiobjective hierarchical progressive parallel algorithm based on improved NSGA-II
	Average searching time for a single solution(s)	Total calculation time(s)	Average time taken per iteration(s)	Truncated evolutionary generation, 100		Truncated evolutionary generation, 200
				Number of Pareto solutions found	Total calculation time (s)	Number of Pareto solutions found	Total calculation time(s)
1	6.2	306.1	2.8	43	434.6	45	716.6
2	6.2	304	2.9	43	445.9	46	740.1
3	6	293.2	3.2	42	467.4	49	788.9
4	5.3	261.3	2.9	41	416.1	46	702.5
5	5.5	268.9	2.9	41	422.3	46	710.6
6	6.5	317.7	3.1	44	470.7	48	782.8
7	6.8	334.5	2.9	45	460.6	46	754.6
8	6.8	331.3	3	44	469.2	47	772.9
9	5.7	279.6	2.9	42	425.5	46	711.2
10	6.4	311.5	3.2	43	474.7	49	794.5
11	7	342.6	3.2	45	486.9	49	802.6
12	5.5	270.7	3.2	41	454.2	49	773.3
13	6	294.7	3.3	43	475.7	53	804.1
14	6.1	299.7	3.2	43	468.9	49	788.4
15	5.9	291.2	2.9	42	433.4	46	721.4
16	5.7	277.6	3.1	42	449.6	48	761.2
17	6.8	333.1	3.1	44	475.4	48	784.3
18	6.8	331.5	3.2	44	484.4	49	803.3
19	6.7	328.7	3	44	461.6	47	759
20	6.9	336.8	3.2	45	483.6	49	799.3
Average	6.2	305.7	3.1	43.1	458	47.8	763.6