Abstract
This paper presents applying multi-objective optimization methods to network expansion planning. The distribution network expansion planning minimizes system cost and distribution loss while satisfying the constraints. Problem formulation results in combinatorial optimization problems that are difficult to solve due to complexity. This research applies a genetic algorithm, which is a meta-heuristics method. The present study proposes a new method of multi-objective optimization methods; NSGA-II and SPEA2 are assumed to be the best method now. The proposed method introduces the concept of a linkage identification genetic algorithm, enabling more efficient searching than methods hitherto known. In the past, most research that's network expansion planning didn't include load curve. This research demonstrated that the research has to include load curve. Also it proposed new method that's how to search including load curve for the research.
