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Mathematical Problems in Engineering
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2015
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Article
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Tab 12
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Research Article
Artificial Bee Colony Algorithm Based on
-Means Clustering for Multiobjective Optimal Power Flow Problem
Table 12
The best solutions for emission and loss from the Pareto front based on four multiobjective algorithms.
ā
CMOABC
MOABC
NSGA-II
MOPSO
ā
Best
Best
Best
Best
Best
Best
Best
Best
PG1
45.13
9.09
33.90
12.06
44.01
63.30
33.01
10.97
PG2
44.92
5.02
60.03
6.48
41.86
144.51
44.69
77.01
PG3
55.96
91.01
49.89
70.01
57.29
108.58
61.98
23.11
PG4
41.02
70.98
34.65
95.32
40.66
62.03
43.03
63.35
PG5
46.63
5.13
63.61
6.39
42.61
5.12
49.96
82.49
PG6
54.02
103.86
46.96
95.22
34.59
34.59
52.59
58.60
(emission)
0.1958
0.2489
0.1969
0.2519
0.2501
0.2334
0.1962
0.2599
(loss)
4.1213
1.6072
4.7821
1.6501
4.2996
2.1239
3.8300
1.6640