Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
A review on optimization of antenna array by evolutionary optimization techniques
by
Devisasi Kala, D.D.
, Sundari, D. Thiripura
in
Alternative energy sources
/ Ant colony optimization
/ Antenna arrays
/ Antenna design
/ Antennas
/ Arrays
/ Cats
/ Communication
/ Convergence
/ Design
/ Design optimization
/ Directivity
/ Genetic algorithms
/ Heuristic methods
/ Optimization algorithms
/ Optimization techniques
/ Particle swarm optimization
/ Plant reproduction
/ Process parameters
/ Radiation
/ Search algorithms
/ Sidelobes
2023
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
A review on optimization of antenna array by evolutionary optimization techniques
by
Devisasi Kala, D.D.
, Sundari, D. Thiripura
in
Alternative energy sources
/ Ant colony optimization
/ Antenna arrays
/ Antenna design
/ Antennas
/ Arrays
/ Cats
/ Communication
/ Convergence
/ Design
/ Design optimization
/ Directivity
/ Genetic algorithms
/ Heuristic methods
/ Optimization algorithms
/ Optimization techniques
/ Particle swarm optimization
/ Plant reproduction
/ Process parameters
/ Radiation
/ Search algorithms
/ Sidelobes
2023
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
A review on optimization of antenna array by evolutionary optimization techniques
by
Devisasi Kala, D.D.
, Sundari, D. Thiripura
in
Alternative energy sources
/ Ant colony optimization
/ Antenna arrays
/ Antenna design
/ Antennas
/ Arrays
/ Cats
/ Communication
/ Convergence
/ Design
/ Design optimization
/ Directivity
/ Genetic algorithms
/ Heuristic methods
/ Optimization algorithms
/ Optimization techniques
/ Particle swarm optimization
/ Plant reproduction
/ Process parameters
/ Radiation
/ Search algorithms
/ Sidelobes
2023
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
A review on optimization of antenna array by evolutionary optimization techniques
Journal Article
A review on optimization of antenna array by evolutionary optimization techniques
2023
Request Book From Autostore
and Choose the Collection Method
Overview
PurposeOptimization involves changing the input parameters of a process that is experimented with different conditions to obtain the maximum or minimum result. Increasing interest is shown by antenna researchers in finding the optimum solution for designing complex antenna arrays which are possible by optimization techniques.Design/methodology/approachDesign of antenna array is a significant electro-magnetic problem of optimization in the current era. The philosophy of optimization is to find the best solution among several available alternatives. In an antenna array, energy is wasted due to side lobe levels which can be reduced by various optimization techniques. Currently, developing optimization techniques applicable for various types of antenna arrays is focused on by researchers.FindingsIn the paper, different optimization algorithms for reducing the side lobe level of the antenna array are presented. Specifically, genetic algorithm (GA), particle swarm optimization (PSO), ant colony optimization (ACO), cuckoo search algorithm (CSA), invasive weed optimization (IWO), whale optimization algorithm (WOA), fruitfly optimization algorithm (FOA), firefly algorithm (FA), cat swarm optimization (CSO), dragonfly algorithm (DA), enhanced firefly algorithm (EFA) and bat flower pollinator (BFP) are the most popular optimization techniques. Various metrics such as gain enhancement, reduction of side lobe, speed of convergence and the directivity of these algorithms are discussed. Faster convergence is provided by the GA which is used for genetic operator randomization. GA provides improved efficiency of computation with the extreme optimal result as well as outperforming other algorithms of optimization in finding the best solution.Originality/valueThe originality of the paper includes a study that reveals the usage of the different antennas and their importance in various applications.
This website uses cookies to ensure you get the best experience on our website.