Experimental investigation of sawing approach of low power fiber laser cutting of titanium alloy using particle swarm optimization technique

2022 ◽  
Vol 147 ◽  
pp. 107613
Author(s):  
D. Pramanik ◽  
N. Roy ◽  
A.S Kuar ◽  
S. Sarkar ◽  
S. Mitra
Keyword(s):  
Experimental Investigation ◽  
Titanium Alloy ◽  
Particle Swarm Optimization ◽  
Low Power ◽  
Fiber Laser ◽  
Laser Cutting ◽  
Optimization Technique ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Particle Swarm Optimization Technique

scholarly journals Modeling, simulation and experimental investigation of closed loop MPPT based single phase stand alone photo voltaic system using particle swarm optimization technique

2018 ◽  
Vol 7 (2.21) ◽  
pp. 94
Author(s):  
P V. Thakre ◽  
V M. Deshmukh
Keyword(s):  
Experimental Investigation ◽  
Particle Swarm Optimization ◽  
Single Phase ◽  
Closed Loop ◽  
Optimization Technique ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Loop Control ◽  
Novel Approach ◽  
Particle Swarm Optimization Technique

Standalone photovoltaic (PV) systems are implemented to perform independently from the utility grid. Such system are beneficial for certain AC as well as DC loads; that too especially where conventional energy cannot reach. To make such system more efficient and independent, a closed loop control could be employed. This research paper presents a novel approach to model and simulate a closed loop maximum peak power tracking (MPPT) based single phase stand alone system using particle swarm optimization (PSO) technique. Based on the simulation results, an experimental investigation has been successfully carried out. 

Materialized View Selection Using Swap Operator Based Particle Swarm Optimization

2021 ◽  
Vol 13 (1) ◽  
pp. 58-73
Author(s):  
Amit Kumar ◽  
T. V. Vijay Kumar
Keyword(s):  
Particle Swarm Optimization ◽  
Data Warehouse ◽  
Optimization Technique ◽  
Particle Swarm ◽  
Selection Problem ◽  
Data Repository ◽  
Swarm Optimization ◽  
View Selection ◽  
Particle Swarm Optimization Technique ◽  
Swap Operator

The data warehouse is a key data repository of any business enterprise that stores enormous historical data meant for answering analytical queries. These queries need to be processed efficiently in order to make efficient and timely decisions. One way to achieve this is by materializing views over a data warehouse. An n-dimensional star schema can be mapped into an n-dimensional lattice from which Top-K views can be selected for materialization. Selection of such Top-K views is an NP-Hard problem. Several metaheuristic algorithms have been used to address this view selection problem. In this paper, a swap operator-based particle swarm optimization technique has been adapted to address such a view selection problem.

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