HYBRIDIZED PROSCOPIIDAE - MYRMELEONTIDAE AND PAMPAS FOX INSPIRED OPTIMIZATION ALGORITHM

Abstract

In this paper Hybridization of Proscopiidae Optimization with Myrmeleontidae Algorithm (PM) and Pampas Fox inspired optimization (PFO) algorithm are applied to solve the tangible power Loss reduction problem. Proscopiidae optimization algorithm integrated with Myrmeleontidae optimization algorithm. Proscopiidae certainly move idealistically up until it reach a protected region and projected algorithm owns good exploration ability. Myrmeleontidae optimization algorithm owns better exploitation. In the exploration space Proscopiidae interrelate each other and identical number of Myrmeleontidae will be there in the exploration. In exploitation segment, movement of the Pampas Fox is towards the direction of the prey’s sound. Population engendered randomly, partial iterations are applied in the exploration and exploitation segment. PM and PFO algorithms validated in IEEE 354 bus and 220 KV systems.