Research Article

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

Table 5

Comparison of test results between NSGA-II and the proposed algorithm in every construction of a nondominated frontier set.

Number of testsNSGA-IIThe multiobjective hierarchical progressive parallel algorithm
The average individual comparison timesNondominated frontier average number of layersAverage CPU time consumed by a single layering process(s)The average individual comparison timesNondominated frontier average number of layersAverage CPU time consumed by a single layering process(s)

14861898.458.593.362521.929.21.126
24665847.750.689.673679.125.31.3
34585557.947.48861776.723.71.348
44448335.541.985.477458.3411.943
55255582.674.2100.975764.127.11.379
64999614.9649670900.7281.694
74983007.963.395.769879.441.71.655
85375101.479103.274943.329.51.848
95143954.269.898.876288.224.91.899
105286829.575.5101.565054.227.71.472
115387153.879.5103.445385.829.70.725
124806556.656.392.365837.328.11.502
134718012.152.790.659488.326.41.261
144966130.462.695.448214.931.30.832
154987274.163.595.848977.831.70.711
164883584.659.393.844668.729.70.697
17505473666.297.140401.223.10.535
184854897.658.293.26545329.11.487
194643834.149.889.270914.424.91.695
204998534.463.99650881.1220.933
Average value4945322.261.89562424.428.71.302