An Encoding Technique for Multiobjective Evolutionary Algorithms Applied to Power Distribution System Reconfiguration

Table 1

Characteristics of the approximate Pareto-optimal solutions in Figure 7.

Solution number	Line sections open	Power losses (MW)	Switching operations
1	84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96	0.5320	0
2	34, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 95, 96	0.5096	1
3	7, 34, 84, 86, 87, 88, 89, 90, 91, 92, 93, 95, 96	0.4900	2
4	7, 34, 63, 84, 86, 87, 88, 89, 90, 91, 92, 93, 95	0.4771	3
5	7, 34, 63, 72, 84, 86, 88, 89, 90, 91, 92, 93, 95	0.4731	4
6	7, 34, 63, 72, 83, 84, 86, 88, 89, 90, 92, 93, 95	0.4707	5
7	7, 13, 34, 63, 72, 83, 84, 86, 89, 90, 92, 93, 95	0.4704	6
8	7, 13, 34, 55, 62, 72, 83, 86, 89, 90, 92, 93, 95	0.4701	7
9	7, 13, 34, 39, 55, 62, 72, 83, 86, 89, 90, 92, 95	0.4700	8
10	7, 13, 34, 39, 42, 55, 62, 72, 83, 86, 89, 90, 92	0.4699	9