In wireless adhoc networks usage are increased in now a days to broadcast their information from one node to another nodes in the networks, it can be categorized into two types static and dynamic. In static approach, information of each and every node is updated automatically forward nodes information from one after another to identify best broadcasting schema results based on local topology an...

Aims: This work aims to develop a system that can be used accurately and timely predict the fatality of positively tested COVID-19 patient through use deep learning technique – swarm intelligent convolutional neural network.
 Methodology: The dataset in this study was acquired from Kaggle repository database. contains Lung Chest X-Ray images patients. were pre- processed obtain desired ima...

Abstract To propose an effective and reasonable excavation plan for rock joints to control the overall stability of surrounding mass predict prevent engineering disasters, this study is aimed at predicting joint shear strength using combined algorithm by support vector regression (SVR) firefly (FA). The dataset collected was employed as output prediction, roughness coefficient (JRC), uniaxial c...

Meta-heuristic algorithms prove to be competent in outperforming deterministic algorithms for real-world optimization problems. Firefly algorithm is one such recently developed algorithm inspired by the flashing behavior of fireflies. In this work, a detailed formulation and explanation of the Firefly algorithm implementation is given. Later Firefly algorithm is verified using six unimodal engi...

Abstract In this paper, a heuristic method based on Firefly Algorithm is proposed for inverse kinematics problems in articulated robotics, the proposal is called, IK-FA. Solving inverse kinematics, IK, consists in finding a set of jointpositions allowing a specific point of the system to achieve a target position. In IK-FA, the Fireflies positions are assumed to be a possible solution for joint...

In this paper a hybrid method for improving the dynamic stability of the power system using UPFC is proposed. The novelty of the proposed method is combined performance of the Bat-inspired algorithm and Firefly Algorithm (FA), which provides improved searching ability, automatic subdivision and random reduction. Here, the bat-inspired algorithm optimizes the maximum power loss bus while the gen...

The emergence of dispersed generation, smart grids, and deregulated electricity markets has increased the focus on enhancing performance distribution systems. This paper proposes a method to reduce energy loss improve reliability systems by performing network reconfiguration (DNR) distributed generator (DG) allocation. In this study, intermittent nature renewable-based DGs load profile are cons...

Fuzzy Neural Networks (FNNs) techniques have been effectively used in applications that range from medical to mechanical engineering, to business and economics. Despite of attracting researchers in recent years and outperforming other fuzzy systems, Adaptive Neuro-Fuzzy Inference System (ANFIS) still needs effective parameter training and rulebase optimization methods to perform efficiently whe...

Modified Firefly Algorithm (MFA) is a model of particle swarm intelligence which adopts the behavior fireflies, in form mutual attraction to light intensity between one firefly and another. By using this method, PID tuning approach carried out so that it will get parameter value on Electronic Load Controller (ELC) system. In MFA process, repeated up 100 iterations achieve optimal or near-optima...