optimizing BTS Placement Using Hybrid Evolutionary Firefly Algorithm

The internet has become one of the basic needs of today’s society. Increasing internet users causes the addition of Base Transceiver Station (BTS) for each region. The construction of BTS certainly requires many costs if the placement is not optimum and leads to the futile placement of BTS. Therefore, it must be optimized for placement. In this research, a Hybrid Evolutionary Firefly Algorithm (HEFA) is implemented and compared to the original Firefly Algorithm (FA) in tackling this problem. Some computer simulations show that the HEFA gives an average fitness value up to 98.62%, which is slightly higher than the FA that produces 97.73%. It optimizes the BTS up to half of the initial generation.