LEVY BASED PHRYNOSOMA DOUGLASSII SWARM, ALASHAN WAPITI OPTIMIZATION, FOREST PONY ALGORITHM AND PANTHERA TIGRIS CORBETTI SEARCH FOR TRUE POWER LOSS REDUCTION IN ELECTRICAL SYSTEM

Lévy based Phrynosoma douglassii inspired optimization (LPD) algorithm, Alashan wapiti optimization (AWO) algorithm, Forest Pony Optimization (FPO) algorithm and Panthera Tigris corbetti optimization (PTC) algorithm are applied to solve the true power loss reduction problem. Camouflage, colour changing, blood spouting and squirt out protection methods of Phrynosoma douglassii are scientifically formulated in the LPD algorithm. Due to Camouflage action, Phrynosoma douglassii alter its body colorant by flattering luminous to evade exposure to the predators. AWO algorithm is formulated based on the natural breeding procedure of Alashan wapiti. There are dual key breeding periods for Alashan wapiti. In the rutting season Alashan wapiti herd alienated into dissimilar folks of numerous proportions. FP algorithm replicates the foraging area nearby Forest Pony with coefficient and scientific execution of foraging. Forest Ponies from upper layer of the organized matrix are designated as Alpha cluster of Forest Ponies. In PTC, during initial period, the location of population associates is rationalized grounded on picking and bout on the prey. This period sources abrupt and widespread vicissitudes in the location of population associates, and as a consequence, it upsurges the aptitude of the global examination and exploration of the procedure in precise glance over of the examination region. Lévy based Phrynosoma douglassii inspired optimization (LPD) algorithm, Alashan wapiti optimization (AWO) algorithm, Forest Pony Optimization (FPO) algorithm and Panthera Tigris corbetti optimization (PTC) algorithm are validated in IEEE 118, 300, 354 systems.