Synthesis of linear antenna array using flower pollination algorithm

@article{Singh2016SynthesisOL,
  title={Synthesis of linear antenna array using flower pollination algorithm},
  author={Urvinder Singh and Rohit Salgotra},
  journal={Neural Computing and Applications},
  year={2016},
  volume={29},
  pages={435-445}
}
Linear antenna array (LAA) design is a classical electromagnetic problem. It has been extensively dealt by number of researchers in the past, and different optimization algorithms have been applied for the synthesis of LAA. This paper presents a relatively new optimization technique, namely flower pollination algorithm (FPA) for the design of LAA for reducing the maximum side lobe level (SLL) and null control. The desired antenna is achieved by controlling only amplitudes or positions of the… 

On the Linear Antenna Array Synthesis Techniques for Sum and Difference Patterns Using Flower Pollination Algorithm

TLDR
A novel evolutionary computing tool known as flower pollination algorithm (FPA) is applied to linear array synthesis problem and the performance and the efficiency of FPA-based method are evaluated and also compared with those obtained using genetic algorithm and particle swarm optimization.

Improved Flower Pollination Algorithm for Linear Antenna Design Problems

TLDR
To mitigate the problems of original FPA, a modified algorithm namely adaptive FPA (AFPA) has been proposed, a four-fold population division has been followed for both global and local search phases, and simulation results clearly indicate the superior performance of AFPA in optimizing LAA.

Pattern Synthesis of Linear Antenna Arrays Using Enhanced Flower Pollination Algorithm

TLDR
Experimental results show that EFPA algorithm provides enhanced performance in terms of side lobe suppression and null control compared to FPA and other popular algorithms.

A novel bat flower pollination algorithm for synthesis of linear antenna arrays

TLDR
Simulation results show that BFP is able to provide better synthesis results than wide range of popular techniques like genetic algorithm, differential evolution, cuckoo search, particle swarm optimization, back scattering algorithm and others.

Linear antenna array synthesis using bat flower pollinator

TLDR
In this work, LAA is designed using bat flower pollination to obtain required radiation pattern having minimum possible side lobe level (SLL) and the results have been compared with the popular algorithms like particle swarm optimization (PSO), biogeography based optimization (BBO), flowerpollination algorithm (FPA) and others.

A SURVEY OF ANTENNA ARRAY OPTIMIZATION USING META-HEURISTIC ALGORITHM

TLDR
The antenna array optimization is discussed which includes population-based meta-heuristic algorithms including Genetic algorithm, Ant Colony Optimization, cuckoo search–chicken swarm optimization and flower pollination algorithm.

A Modified Chicken Swarm Optimization Algorithm for Synthesizing Linear, Circular and Random Antenna Arrays

TLDR
A novel improved chicken swarm optimization (ICSO) algorithm is proposed to suppress the maximum SLL of the linear antenna array, the circular antenna array and the random antenna array to achieve better optimization results.

Synthesis of Linear Antenna Arrays Using Enhanced Firefly Algorithm

TLDR
The results demonstrate that EFA provides reduced sidelobe level and faster convergence in comparison with algorithms like FA, biogeography-based optimization, cuckoo search, differential evolution, genetic algorithm, particle swarm optimization, tabu search and Taguchi method.

Synthesis of flat-top beam pattern of linear antenna arrays with restricted side lobe level, VSWR and independent nulls using Flower Pollination algorithm

TLDR
The obtained results show the superiority of the Flower Pollination algorithm over Particle Swarm Optimisation algorithm for the synthesis of the flat-top beam pattern in linear antenna arrays with restrictions on the peak side lobe level, ripple in theflat-top portion, and maximum Voltage Standing Wave Ratio.
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