Computational Intelligence
Real power loss reduction by Acridoidea stirred artificial bee colony algorithm

L. Kanagasabai

Volume 9, Issue 3 , September 2020, , Pages 209-215

https://doi.org/10.22105/riej.2020.229820.1133

Abstract
  Acridoidea Stirred Artificial Bee Colony (ASA) Algorithm is applied to solve the power loss reduction problem. In the projected algorithm natural Acridoidea jumping phenomenon has been imitated and the modeled design has been intermingled with artificial bee colony algorithm. In the proposed algorithm, ...  Read More

Computational modelling
Amplified black hole algorithm for real power loss reduction

L. Kanagasabai

Volume 9, Issue 2 , June 2020, , Pages 130-142

https://doi.org/10.22105/riej.2020.214468.1114

Abstract
  This work presents Amplified Black Hole Algorithm (ABHA) for solving optimal reactive power problem. In the projected approach ABHA, Gravitational Search Algorithm (GSA) is merged with Black Hole Algorithm (BHA). Power loss reduction is the key objective in the proposed work. The gravitational force ...  Read More

Computational Intelligence
Factual power loss reduction by augmented monkey optimization algorithm

L. Kanagasabai

Volume 9, Issue 1 , March 2020, , Pages 1-12

https://doi.org/10.22105/riej.2020.214459.1112

Abstract
  This paper presents Augmented Monkey Optimization Algorithm (AMOA) applied to solve optimal reactive power problem. Communal behaviour of monkeys has been utilized to model the algorithm. Normally, group monkeys assess the distance from the source to food for foraging behaviour. Local leader renews its ...  Read More