Recently, with the faster pace of development on the sophisticated detection and stealth technology, extensive attention is being paid to the reduction of Radar Cross Section (RCS) as it emerges in security and commercial applications. The Vivaldi antennas are one of the best choices for wide impedance bandwidth, planar configuration, and low profile as well. However, RCS reduction affects the antenna gain due to the complexity of radiation property. This paper intends to design an optimized vivaldi antenna to enhance gain performance. More particularly, the antenna is designed with the fine-tuning of antenna parameters like taper length \(\left( {l_{t} } \right)\), aperture width \(\left( {w_{ap} } \right)\), opening rate, slot line width \(\left( {w_{s} } \right)\), cavity diameter \(\left( d \right)\), cavity to taper spacing \(\left( s \right)\), ground plane length \(\left( l \right)\) and ground plane width \(\left( w \right)\), respectively. More particularly, optimization algorithms play a vital role in fine-tuning of the parameter, and hence this paper intends to propose a new Improved Grey Wolf Optimization Algorithm with Fitness based Update evaluation (IGWO-FU), which is the enhanced version of traditional GWO. Finally, the performance of the proposed IGWO-FU model is compared over other traditional algorithms with respect to gain, VSWR, directivity, charge and current distribution, return loss as well.

近来，随着复杂检测和隐身技术的发展速度加快，随着雷达横截面（RCS）在安全和商业应用中的出现，人们日益关注它的减小。Vivaldi天线也是宽阻抗带宽，平面配置和低剖面的最佳选择之一。但是，由于辐射特性的复杂性，RCS的降低会影响天线增益。本文旨在设计一种优化的维瓦尔第天线，以增强增益性能。更具体地说，天线的设计是对天线参数进行微调，例如锥度\（\ left（{l_ {t}} \ right）\），孔径宽度\（\ left（{w_ {ap}} \ right ）\），开孔率，槽口线宽度\（\ left（{w_ {s}} \ right）\），型腔直径\（\ left（d \ right）\），型腔到锥间距\（\ left（s \ right）\），接地平面长度\（\ left（l \ right）\）和接地平面宽度\ （\ left（w \ right）\）分别。更具体地说，优化算法在参数的微调中起着至关重要的作用，因此，本文打算提出一种新的基于适应度更新评估的改进的灰狼优化算法（IGWO-FU），它是传统GWO的增强版本。 。最后，在增益，VSWR，方向性，电荷和电流分布，回波损耗等方面，将所提出的IGWO-FU模型的性能与其他传统算法进行了比较。