HYBRID GUILLEMOT - CALLOSCIURUS PREVOSTII ALGORITHM

Abstract

Hybrid Guillemot - Callosciurus prevostii Algorithm (HGC) is designed in this paper.  Key objectives are active power loss reduction and voltage stability augmentation. In Guillemot algorithm, the passage of Guillemot will be in the direction of other Guillemot rendering to warmth deliberation and space. Callosciurus prevostii energetic foraging ploy and glissade process are imitated scientifically to design the algorithm. In the period of autumn season, Callosciurus prevostii seek for food resources by glissade from one Quercus rubra to another, and they change the locations. Guillemot Algorithm and Callosciurus prevostii Optimization Algorithm are hybridized to enhance the exploration and exploitation capabilities of the algorithm in order to attain better solutions. Hybrid Guillemot - Callosciurus prevostii Algorithm (HGC) validated in IEEE 30 and 354 test systems. Active power loss reduction has been achieved with voltage deviation minimization.