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Mathematical Problems in Engineering
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2015
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Article
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Tab 11
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Research Article
Artificial Bee Colony Algorithm Based on
-Means Clustering for Multiobjective Optimal Power Flow Problem
Table 11
The best compromise solutions for loss and cost using different multiobjective algorithms.
ā
CMOABC
MOABC
NSGA-II
MOPSO
PG1
4.4112
8.6014
3.6012
11.6012
PG2
25.0134
29.1642
12.4035
20.7035
PG3
79.4701
74.8653
87.6634
83.0107
PG4
106.2073
105.2366
91.9804
96.1342
PG5
8.0312
17.5038
28.0135
12.0511
PG6
62.0252
50.0031
61.8014
70.9652
(cost)
622.6002
613.3213
623.2813
630.5862
(loss)
1.6691
1.7097
1.8703
1.6258