This paper presents an efficient metaheuristic approach for optimizing the generalized ratio problems such as sum and multiplicative of linear or nonlinear objective function with affine constraints. focuses on significance hybrid techniques, which are implemented by using GA ER-WCA to increase efficiency robustness solving problems. Initially, starts initial random population it is processed g...

Recognizing signs and fonts of prehistoric language is a fairly difficult job that requires special tools. This stipulation make the dispensation period overriding, tiresome to calculate. paper present technique for recognizing ancient south Indian languages by applying Artificial Neural Network (ANN) associated with Opposition based Grey Wolf Optimization Algorithm (OGWA). It identifies langua...

The Egyptian jackal (Canis aureus lupaster) has hitherto been considered a large, rare subspecies of the golden jackal (C. aureus). It has maintained its taxonomical status to date, despite studies demonstrating morphological similarities to the grey wolf (C. lupus). We have analyzed 2055 bp of mitochondrial DNA from C. a. lupaster and investigated the similarity to C. aureus and C. lupus. Thro...

This paper aims to design an optimal distributed multi-agent controller for load frequency control and optimal power flow purposes. The controller parameters are optimized using Grey Wolf Optimization (GWO) algorithm. The designed optimal distributed controller is employed for load frequency control in the IEEE 30-bus test system with six generators. The controller of each generator is consider...

Abstract Single-solution-based optimization algorithms have gained little to no attention by the research community, unlike population-based approaches. This paper proposes a novel algorithm, called Single Candidate Optimizer (SCO), that relies only on single candidate solution throughout whole process. The proposed algorithm implements unique set of equations effectively update position soluti...