Hybridization of Human Supporter Optimization with Election Process of the Indian State Inspired Algorithm for Real Power Loss Reduction in WDN Egyptian Grid

In this paper Hybridization of Human Supporter optimization with Election Process of the Indian State Inspired Algorithm (HIHE) is applied to solve the Real power loss shrinking problem. In Human Supporter (HSIO) algorithm numerous features of the entities within the Group are measured to augment the updating technique of the entities’ positions and deliver more chances for entities. To evade sluggishness in deprived local optima and to avert an early convergence, the Election Process of the Indian State Inspired Algorithm (EPIS) algorithm apply vibrant and amending governance grounded on gravitational power, vibrant population distribution and divergence, variance stage, and reversion grounded control alteration. EPIS algorithm applies Latin Hypercube Test group to allocate the preliminary population in uniform mode for better exploration and exploitation in the search area. Features of HSIO and EPIS are integrated to define a hybridized algorithm (HIHE) to solve the problem. Through this hybridization enhanced exploitation accomplished with better solutions. Proposed Hybridization of Human Supporter with Election Process of the Indian State Inspired Algorithm (HIHE) validated in IEEE 354 bus and WDN 220 KV systems.