Adaptive Neuro Fuzzy Interference and PNN Memory Based Grey Wolf Optimization Algorithm for Optimal Load Balancing

2021 ◽  
Author(s):  
Uday Chourasia ◽  
Sanjay Silakari
Keyword(s):  
Load Balancing ◽  
Optimization Algorithm ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Optimal Load ◽  
Neuro Fuzzy

scholarly journals Optimal Load Balancing in Cloud using ANFIS and MGWO based Polynomial Neural Network

2021 ◽  
Author(s):  
Uday Chourasia ◽  
Sanjay Silakari
Keyword(s):  
Neural Network ◽  
Load Balancing ◽  
Optimization Algorithm ◽  
Dynamic Load Balancing ◽  
Service Availability ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Polynomial Neural Network ◽  
Optimal Load ◽  
Significant Factors

Abstract In recent years, cloud computing provides a spectacular platform for numerous users with persistent and alternative varying requirements. Here providing an appropriate service is considered a major challenge in the heterogeneous environment. In the cloud environment, security and service availability are the two most significant factors during the data encryption process. In order to provide optimal service availability, it is necessary to establish a load balancing technique that is capable of balancing the request from diverse nodes present in the cloud. This paper aims in establishing a dynamic load balancing technique using the APMG approach. Here in this paper, we integrated adaptive neuro-fuzzy interference system-polynomial neural network as well as memory-based grey wolf optimization algorithm for optimal load balancing. The memory-based grey wolf optimization algorithm is employed to enhance the precision of ANFIS-PNN and to maximize the locations of the membership functions respectively. In addition to this, two significant factors namely the turnaround time and CPU utilization involved in optimal load balancing scheme are evaluated. In addition to this, the performance evaluation of the proposed MG-ANFIS based dynamic load balancing approach is compared with various other load balancing approaches to determine the system performances.

scholarly journals Closed Loop Control of PV System Using Grey Wolf Optimization Algorithm under Partial Shading Condition

2020 ◽  
Vol 994 ◽  
pp. 012011
Author(s):  
Dr. J. Jayaudhaya ◽  
D. Rajasekaran ◽  
J. Sumithra ◽  
J. C. Vinitha ◽  
S. Karkuzhali
Keyword(s):  
Optimization Algorithm ◽  
Closed Loop ◽  
Closed Loop Control ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Pv System ◽  
Partial Shading ◽  
Loop Control

scholarly journals Grey Wolf Optimization algorithm with Discrete Hopfield Neural Network for 3 Satisfiability analysis

2021 ◽  
Vol 1821 (1) ◽  
pp. 012038
Author(s):  
Mohd. Asyraf Mansor ◽  
Mohd Shareduwan Mohd Kasihmuddin ◽  
Saratha Sathasivam
Keyword(s):  
Neural Network ◽  
Optimization Algorithm ◽  
Hopfield Neural Network ◽  
Grey Wolf ◽  
Grey Wolf Optimization
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