“…Nevertheless, the reliance of the PSO algorithm on the altering factors and the trapping in modifying parameters' probability can reduce its accuracy and efficacy for various conditions. Other researches about reactive power placement, which employed AI procedures, are Bacterial Foreaging Optimization Algorithm (BFOA) (Devabalaji et al, 2015), artificial bee colony algorithm (ElFergany & Abdelaziz, 2014), search space of GA (Carpinelli et al, 2010), hybrid method of CODEQ (HCODEQ) (Chiou & Chang, 2015), teaching learning based optimization (Sultana & Roy, 2014), Gravitational Search Algorithm (GSA) (Shuaib et al, 2015), Clustering Based Optimization (CBO) (Vuletić & Todorovski, 2014) and bio-inspired optimization (Duque et al, 2015). The applications of AI in solving capacitor placement may have effectual operation and can handle complicated problems.…”