Atlantic Blue Marlin, Boops, Chironex Fleckeri, and General Practitioner – Sick Person Optimization Algorithms

In this paper Atlantic blue marlin (ABM) optimization algorithm, Boops optimization (BO) algorithm, Chironex fleckeri search optimization (CSO) algorithm, general practitioner-sick person (PS) optimization algorithm are applied for solving factual power loss reduction problem. Natural actions of Atlantic blue marlin are emulated to design the Atlantic blue marlin (ABM) optimization algorithm and populace in the examination space is capriciously stimulated. Boops optimization (BO) algorithm is designed by imitating the stalking physiognomies of Boops. CSO is based on the drive and search behavior of Chironex fleckeri. A general practitioner will treat a sick person with various procedures which have been imitated to model the Projected PS algorithm. Inoculation, medicine and operation are the procedures considered in the PS algorithm. Atlantic blue marlin (ABM) optimization algorithm, Boops optimization (BO) algorithm, Chironex fleckeri search optimization (CSO) algorithm, general practitioner – sick person (PS) optimization algorithm validated in IEEE 57, 300 systems and 220 KV network. Factual power loss lessening, power divergence restraining, and power constancy index amplification have been attained.