HYBRIDIZED GOLDEN MARMOSET- PEGEA CONFOEDERATA OPTIMIZATION ALGORITHM AND INTEGRATED CROSSARCHUS- LUCIHORMETICA VERRUCOSA SWARM FOR POWER LOSS REDUCTION IN ELECTRICAL TRANSMISSION AND DISTRIBUTION SYSTEM

Hybridized Golden marmoset - Pegea confoederata swarm optimization algorithm (HGPC) and Integrated Crossarchus- Lucihormetica verrucosa Swarm optimization (ICLV) algorithm are applied to solve the real power loss reduction problem. In the Hybridized Golden marmoset- Pegea confoederata swarm optimization algorithm, regular attributes of the Golden marmoset is integrated with the Pegea confoederata swarm. Golden Marmoset is contingent on hereditary and societal actions in which leading entities are probable to be conquerors of the exploration area. The Pegea confoederata swarm optimization algorithm portrays the manacling and the gesticulation in the ocean. The Pegea confoederata are shining beings that forage around the biological material in the ocean and hover round in manacles. In the Integrated Crossarchus- Lucihormetica Verrucosa Swarm optimization (ICLV) algorithm the reconnaissance for fresh embankment and searching is done concurrently and by the similar cluster of Crossarchus. By calculating the normal slumbering embankment rate in iterations, contingent on the rate of the normal slumbering embankment, the subsequent phase of the Crossarchus populace is determined. Lucihormetica verrucosa swarm optimization algorithm is integrated into the algorithm to enhance the search. HGPC and ICLV algorithms are validated in 7 benchmark functions and IEEE systems.