Abstract
This chapter presents an adapted bat-inspired algorithm (ABA) besides a search space shrinking (SSS) in the frame of an efficient hybrid algorithm (EHA) for transmission network expansion planning (TEP). The network losses considered in the comprehensive efficient application of EHA to a real system with large-scale. In this approach, ABA handles the discrete variables of TEP. The evaluation of the fitness function as well as the planning options are via an optimal power flow. The SSS technique has a crucial role in the definition of ABA initial candidates, thereof considerably reduction of solution search space, thus the computational performance of the proposed ABA. The evaluation of Southern Brazilian system validates the proposed approach in comparison to the other state-of-the-art algorithms.