scholarly journals Flower Pollination Algorithm with Linearly Varying Exploration: A Novel Approach for Continuous Function Optimization Problem

2018 ◽  
Vol 7 (16) ◽  
pp. 51-56
Author(s):  
Mohammad Shafiul ◽  
Sanonda Datta ◽  
Samiha Sara ◽  
Nur-E-Asma Tabassum
Keyword(s):  
Continuous Function ◽  
Optimization Problem ◽  
Function Optimization ◽  
Flower Pollination Algorithm ◽  
Flower Pollination ◽  
Novel Approach

scholarly journals Design of Linear Array for Shaped Beams using Enhanced Flower Pollination Optimization Algorithm for Marine Radar Applications

2021 ◽  
Author(s):  
Nagavalli Vegesna ◽  
Yamuna G ◽  
Sudheer Kumar Terlapu
Keyword(s):  
Optimization Algorithm ◽  
Optimization Problem ◽  
Linear Array ◽  
Flower Pollination Algorithm ◽  
Far Field ◽  
Radiation Patterns ◽  
Flower Pollination ◽  
Field Radiation ◽  
Radar Applications ◽  
Marine Radar

Abstract In order to generate narrow beams with individual heights of sidelobes, we perform a synthesis of sum patterns. The side lobes can be adjusted to any arbitrary specification and flat top far field radiation patterns using Enhanced Flower Pollination Algorithm (EFPA) is presented in this paper. The problem of designing an array can be expressed as an optimization problem that aims to reduce the first two sidelobes to -50dB and by reducing the remaining sidelobes to -40dB. The EFPA is applied to determine the excitation coefficients of their amplitudes so as to obtain the required pattern. The objective for case 2 is to obtain the flat top sector beam for specified angular regions. Complex excitation coefficients are determined using EFPA for various beam widths. The radiation patterns are generated numerically using the obtained excitation coefficients. The results reveal that not only the ripples are controlled in the trade-in region, but also maintained sidelobe levels in the acceptable limits. The results presented are very much useful for marine radar applications.

Sign in / Sign up

Export Citation Format

Share Document