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

Table 3

Characteristics of the approximate Pareto-optimal solutions in Figure 10.

Solution number	Line sections open	Voltage deviation	Operated switches
1	84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96	0.0033805	0
2	34, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 95, 96	0.0032245	1
3	34, 72, 84, 85, 86, 88, 89, 90, 91, 92, 93, 95, 96	0.0031690	2
4	7, 34, 62, 84, 86, 87, 88, 89, 90, 91, 92, 93, 95	0.0030271	3
5	7, 34, 62, 72, 84, 86, 88, 89, 90, 91, 92, 93, 95	0.0029678	4
6	7, 34, 62, 72, 83, 84, 86, 88, 89, 90, 92, 93, 95	0.0029392	5
7	7, 34, 55, 62, 72, 83, 86, 88, 89, 90, 92, 93, 95	0.0029166	6
8	7, 34, 39, 62, 72, 83, 84, 86, 88, 89, 90, 92, 95	0.0029314	6
9	7, 34, 39, 55, 62, 72, 83, 86, 88, 89, 90, 92, 95	0.0029087	7
10	7, 34, 39, 42, 55, 62, 72, 83, 86, 88, 89, 90, 92	0.0029046	8