Performance Evaluation of MPPT using Modified PSO Algorithm for Battery Charge Application

2018 ◽  
Author(s):  
Moh. Zaenal Efendi ◽  
Farid Dwi Murdianto ◽  
Novie Ayub Windarko ◽  
Rangga Eka Setiawan ◽  
Rauf Hanrif Mubarok ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Pso Algorithm ◽  
Battery Charge ◽  
Modified Pso

scholarly journals Optimized Traffic Grooming through modified PSO based Iterative Hungarian algorithm in Optical Networks

2021 ◽  
Vol 50 (3) ◽  
pp. 546-557
Author(s):  
J. KUMARNATH ◽  
K. BATRI
Keyword(s):  
Performance Analysis ◽  
Optical Networks ◽  
Performance Measures ◽  
Shortest Path ◽  
Optical Network ◽  
Traffic Grooming ◽  
Pso Algorithm ◽  
Propagation Delay ◽  
The Other ◽  
Modified Pso

Due to huge size of the data and quick transmission of data between the nodes present in the optical network, a condition of network traffic is created among the nodes of the network. This issue of traffic can be overcome by employing numerous traffic grooming techniques. In this research paper, the best suitable shortest path is determined by the multi objective modified PSO algorithm and an innovative visibility graph based Iterative Hungarian Traffic grooming algorithm is implemented to reduce the blocking ratio through improving the allocation of bandwidth between the users. Then finally the performance analysis is carried out by means of performance measures such as traffic throughput, transceivers count, average propagation delay, blocking ratio, and success ratio. It can be inferred that the proposed work obtains enhanced outcomes when compared to the other existing techniques.

A dynamic particle swarm optimization method applied to global optimizations of engineering inverse problem

2018 ◽  
Vol 37 (1) ◽  
pp. 98-117 ◽  
Author(s):  
Shafiullah Khan ◽  
Shiyou Yang ◽  
Obaid Ur Rehman
Keyword(s):  
Inverse Problem ◽  
Particle Swarm Optimization ◽  
Optimization Problems ◽  
Particle Swarm ◽  
Pso Algorithm ◽  
Optimization Method ◽  
Swarm Optimization ◽  
Content Type ◽  
Novel Strategy ◽  
Modified Pso

Purpose The aim of this paper is to explore the potential of particle swarm optimization (PSO) algorithm to solve an electromagnetic inverse problem. Design/methodology/approach A modified PSO algorithm is designed. Findings The modified PSO algorithm is a more stable, robust and efficient global optimizer for solving the well-known benchmark optimization problems. The new mutation approach preserves the diversity of the population, whereas the proposed dynamic and adaptive parameters maintain a good balance between the exploration and exploitation searches. The numerically experimental results of two case studies demonstrate the merits of the proposed algorithm. Originality/value Some improvements, such as the design of a new global mutation mechanism and introducing a novel strategy for learning and control parameters, are proposed.

A modified PSO algorithm for task scheduling optimization in cloud computing

2018 ◽  
Vol 30 (24) ◽  
pp. e4970 ◽  
Author(s):  
Zhou Zhou ◽  
Jian Chang ◽  
Zhigang Hu ◽  
Junyang Yu ◽  
Fangmin Li
Keyword(s):  
Cloud Computing ◽  
Task Scheduling ◽  
Pso Algorithm ◽  
Scheduling Optimization ◽  
Modified Pso
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