Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

The Antenna Complex01:15

The Antenna Complex

8.6K
Plants and other photosynthetic organisms comprise pigments capable of absorption of direct sunlight. These pigments are present in the reaction center - the main site of photochemical reactions as well as in the antenna complex. Under average light conditions, the rate at which reaction center pigments absorb light is far below the electron transport chain's capacity. As a result, the reaction center alone cannot provide enough energy to drive photosynthesis. The photosynthetic efficiency can...
8.6K
Pollination and Flower Structure02:40

Pollination and Flower Structure

80.4K
Flowers are the reproductive, seed-producing structures of angiosperms. Typically, flowers consist of sepals, petals, stamens, and carpels. Sepals and petals are the vegetative flower organs. Stamens and carpels are the reproductive organs.  
80.4K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Scalability Analysis of LoRa and Sigfox in Congested Environment and Calculation of Optimum Number of Nodes.

Sensors (Basel, Switzerland)·2024
Same author

Gender Disparities in Cardiovascular Disease and Their Management: A Review.

Cureus·2024
Same author

A clinical trial to compare the effects of aerobic training and resistance training on sleep quality and quality of life in older adults with sleep disturbance.

Sleep science (Sao Paulo, Brazil)·2022
Same author

Digital Image Noise Estimation Using DWT Coefficients.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2021
Same journal

In-silico combinatorial design and pharmacophore modeling of potent antimalarial 4-anilinoquinolines utilizing QSAR and computed descriptors.

SpringerPlus·2017
Same journal

Erratum to: Implication of Paris Agreement in the context of long-term climate mitigation goals.

SpringerPlus·2017
Same journal

Erratum to: Associations between adherence, depressive symptoms and health-related quality of life in young adults with cystic fibrosis.

SpringerPlus·2017
Same journal

Erratum to: Numerical method to compute acoustic scattering effect of a moving source.

SpringerPlus·2017
Same journal

Identifying appropriate protected areas for endangered fern species under climate change.

SpringerPlus·2017
Same journal

An Algorithm to detect balancing of iterated line sigraph.

SpringerPlus·2017
See all related articles

Related Experiment Video

Updated: Mar 22, 2026

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware
08:13

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

Published on: December 25, 2017

8.7K

Linear antenna array optimization using flower pollination algorithm.

Prerna Saxena1, Ashwin Kothari1

  • 1Department of Electronics and Communication Engineering, Visvesvaraya National Institute of Technology, South Ambazari Road, Nagpur, Maharashtra 440010 India.

Springerplus
|April 12, 2016
PubMed
Summary
This summary is machine-generated.

The Flower Pollination Algorithm (FPA) optimizes linear antenna arrays by finding antenna positions for reduced side lobe levels and deep nulls. FPA shows competitive or superior performance compared to other evolutionary algorithms.

Keywords:
Antenna array optimizationEvolutionary algorithmsFlower pollination algorithmLinear antenna arrayNull placementSide lobe level

More Related Videos

Tactile Conditioning And Movement Analysis Of Antennal Sampling Strategies In Honey Bees Apis mellifera L.
10:14

Tactile Conditioning And Movement Analysis Of Antennal Sampling Strategies In Honey Bees Apis mellifera L.

Published on: December 12, 2012

11.1K
Radio Frequency Identification and Motion-sensitive Video Efficiently Automate Recording of Unrewarded Choice Behavior by Bumblebees
09:09

Radio Frequency Identification and Motion-sensitive Video Efficiently Automate Recording of Unrewarded Choice Behavior by Bumblebees

Published on: November 15, 2014

11.4K

Related Experiment Videos

Last Updated: Mar 22, 2026

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware
08:13

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

Published on: December 25, 2017

8.7K
Tactile Conditioning And Movement Analysis Of Antennal Sampling Strategies In Honey Bees Apis mellifera L.
10:14

Tactile Conditioning And Movement Analysis Of Antennal Sampling Strategies In Honey Bees Apis mellifera L.

Published on: December 12, 2012

11.1K
Radio Frequency Identification and Motion-sensitive Video Efficiently Automate Recording of Unrewarded Choice Behavior by Bumblebees
09:09

Radio Frequency Identification and Motion-sensitive Video Efficiently Automate Recording of Unrewarded Choice Behavior by Bumblebees

Published on: November 15, 2014

11.4K

Area of Science:

  • Electromagnetics and antenna engineering
  • Computational intelligence
  • Optimization techniques

Background:

  • Nature-inspired evolutionary algorithms are effective for complex optimization problems.
  • Linear antenna arrays require precise element placement for desired radiation patterns.
  • Existing optimization methods may have limitations in achieving optimal antenna configurations.

Purpose of the Study:

  • Introduce the Flower Pollination Algorithm (FPA) to the electromagnetics and antenna community.
  • Apply FPA for the first time to optimize linear antenna array positions.
  • Achieve antenna patterns with minimized side lobe levels and deep nulls in specific directions.

Main Methods:

  • Utilized the Flower Pollination Algorithm (FPA) for optimizing linear antenna array element positions.
  • Designed and presented various linear antenna array configurations using FPA.
  • Validated FPA results through benchmarking against other evolutionary algorithms like Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and Cat Swarm Optimization (CSO).

Main Results:

  • FPA successfully optimized antenna positions in linear arrays to achieve desired radiation patterns.
  • The algorithm demonstrated effectiveness in minimizing side lobe levels and placing deep nulls.
  • In most tested cases, FPA outperformed or performed comparably to PSO, ACO, and CSO.

Conclusions:

  • FPA is a viable and effective optimization technique for linear antenna array design.
  • The algorithm offers a competitive alternative to existing nature-inspired optimization methods in electromagnetics.
  • Further application of FPA in antenna array synthesis is recommended.