Real Power Loss Reduction by Extreme Learning Machine based - Xiphias and Gilt-head bream Optimization Algorithms

Abstract

In this paper Extreme Learning Machine based -Xiphias Optimization Algorithm (ELMXOA) and Gilt-head bream Optimization Algorithm (ELMGHO) applied to solve the problem. Entrant solutions in the proposed procedure are Xiphias and populace in the exploration zone, capriciously created. Gilt-head bream Optimization Algorithm designed by imitating the actions of Gilt-head bream's supportive stalking physiognomies. In cluster mode, the Gilthead bream hunt the victim, it is entitled as key cluster (population), and additional cluster is termed as subpopulation. Proposed ELM based -Xiphias Optimization Algorithm (ELMXOA) and Gilt-head bream Optimization Algorithm (ELMGHO) corroborated in IEEE 300 and 220 KV systems.