Lenin Kanagasabai
AC powerAlgorithmSearch algorithmMathematical optimizationLocal search (optimization)Local optimumVoltageHuman echolocationSwarm behaviourChaoticHeadwayHyenaCharPsoaMountain zebraArctic charComputer scienceBat algorithmConvergence (routing)Reduction (complexity)
9Publications
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Publications 9
Newest
In this paper optimal reactive power problem is solved by Mountain Zebra Algorithm (MZA), Augmented Bat algorithm (AB) and Improved Kidney Search (IKS) algorithm. Mountain Zebra Algorithm (MZA) emulates the searching techniques of the Mountain Zebra behaviour. Mountain Zebra search in group to find the food. Alike to plain zebras, Mountain zebras do not be in cumulative into big herds; only they structure as small family groups consisting of a solo stallion around one to five mares, jointly with...
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This paper projects Opposition based Red Wolf Optimization (ORWO) algorithm for solving optimal reactive power problem. Each Red wolf has a flag vector in the algorithm, and length is equivalent to the whole sum of numbers which features in the dataset of the wolf optimization (WO). In this projected algorithm Red wolf optimization algorithm has been intermingled with opposition based learning (OBL). By this amalgamate procedure the convergence speed of the projected algorithm will be increased....
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In this work Rain Drop Optimization (RDO) Algorithm is projected to reduce power loss. Proceedings of Rain drop have been imitated to model the RDO algorithm. Natural action of rain drop is flowing downwards form the peak and it may form small streams during the headway from the mountain or hill. As by gravitation principle raindrop flow as stream then as river form the peak of mountains or hill then it reach the sea as global optimum. Proposed Rain Drop Optimization (RDO) Algorithm evaluated in...
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In this work Enriched Bat Algorithm (EBA) is projected to solve optimal reactive power problem. Bat algorithm based on swarm intelligence and stimulated from the echolocation behavior of bats. In this projected algorithm the directional attribute of echolocation is applied. Progression of bats is directed by superior bats, local schedule are advanced by calculating the step sizes. Pulse emission and loudness are customized to augment the performance of the algorithm. In the Enriched Bat Algorith...
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In this work, a Chaotic based Pteropus algorithm (CPA) has been proposed for solving optimal reactive power problem. Pteropus algorithm imitates deeds of the Pteropus. Normally Pteropus while flying it avoid obstacles by using sonar echoes, particularly utilize time delay. To the original Pteropus algorithm chaotic disturbance has been applied and the optimal capability of the algorithm has been improved in search of global solution. In order to augment the population diversity and prevent early...
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This work presents Arctic Char Algorithm (ACA) for solving optimal reactive power problem. In North America movement of Arctic char phenomenon is one among the twelve-monthly innate actions. Deeds of Arctic char have been imitated to design the algorithm. In stochastic mode solutions are initialized with one segment on every side of to the route ascendancy; particularly in between lower bound and upper bounds. Previous to the movement, Arctic char come to a decision about the passageway based on...
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To solve optimal reactive power problem this paper projects Hyena Optimizer (HO) algorithm and it inspired from the behaviour of Hyena. Collaborative behaviour & Social relationship between Hyenas is the key conception in this algorithm. Hyenas a form of carnivoran mammal & deeds are analogous to canines in several elements of convergent evolution. Hyenas catch the prey with their teeth rather than claws – possess hardened skin feet with large, blunt, no retractable claws are adapted for running...
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In this work two ground-breaking algorithms called; Sperm Motility (SM) algorithm & Wolf Optimization (WO) algorithm is used for solving reactive power problem. In sperm motility approach spontaneous movement of the sperm is imitated & species chemo attractant, sperms are enthralled in the direction of the ovum. In wolf optimization algorithm the deeds of wolf is imitated in the formulation & it has a flag vector also length is equivalent to the whole sum of numbers in the dataset the optimizati...
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This paper presents Passerine Swarm Optimization Algorithm (PSOA) for solving optimal reactive power dispatch problem. This algorithm is based on behaviour of social communications of Passerine bird. Basically, Passerine bird has three common behaviours: search behaviour, adherence behaviour and expedition behaviour. Through the shared communications Passerine bird will search for the food and also run away from hunters. By using the Passerine bird communications and behaviour, five basic rules ...
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