• Kandrapu Rajesh Kumar
• Lalem Sai Manisha
• Bharatula Yashwanti Vardhani
• Burramsetty Sri Lakshmi Yamini
• Khusabu Kumari

The Whale Optimization Algorithm(WOA) is a new metaheuristic optimization algorithm and this technique is used for solving optimization problems. WOA has been designed to solve single-objective optimization problems. It mimics the hunting behavior of humpback whales. The inspiration results from the fact that a whale recognizes the location of a prey (i.e., optimal solution) by swimming around the prey within a shrinking circle and along a spiral-shaped path simultaneously. This algorithm includes three operators to simulate the search for prey, encircling prey, and bubble-net foraging behavior of humpback whales. An overview of WOA is described in this paper, rooted from the bubble-net hunting strategy, besides an overview of WOA applications that are used to solve optimization problems in various categories. The best solution has been determined to make something as functional and effective as possible through the optimization process by minimizing or maximizing the parameters involved in the problems. In this whale optimization algorithm, the parameters such as Amplitude, Position and Phase are used to determine the fitness function.

Smart antenna array, Beam forming, Radiation pattern, Side lobe level.

"Design of Linear Antenna Array for Smart Antenna using Whale Optimization Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 10, page no.e308-e319, October-2021, Available :http://www.jetir.org/papers/JETIR2110458.pdf

"Design of Linear Antenna Array for Smart Antenna using Whale Optimization Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 10, page no. ppe308-e319, October-2021, Available at : http://www.jetir.org/papers/JETIR2110458.pdf