Grey wolf optimizer (GWO) is one of recent metaheuristics swarm intelligence methods. It
has been widely tailored for a wide variety of optimization problems due to its impressive …

Swarm intelligence is one of the fastest growing subfields of artificial intelligence and soft
computing. This field includes multiple optimization algorithms to solve NP-hard problems …

The grey wolf optimizer (GWO) is a well-known nature-inspired algorithm, which shows a
sufficient performance for solving various optimization problems. However, it suffers from low …

Pattern synthesis is a significant research focus in smart antennas due to its extensive use in
several radar and communication systems. To improve the optimization performance of …

A novel hybrid approach to suppress the maximum sidelobe level (SLL) of large scale
concentric circular antenna array (CCAA) is proposed. The approach includes an improved …

Modern and upcoming 5G cellular communication networks require large-scale antenna
systems to improve gain in order to face the weaknesses in the suggested millimeter-wave …

Swarm Intelligence (SI) Algorithms imitate the collective behavior of various swarms or
groups in nature. In this work, three representative examples of SI algorithms have been …

The problems of synthesizing the beam patterns of the linear antenna array (LAA) and the
circular antenna array (CAA) are addressed. First, an optimization problem is formulated for …

Antenna arrays play an increasingly important role in modern wireless communication
systems. However, how to effectively suppress and optimize the side lobe level (SLL) of …

The beam pattern synthesis of antenna arrays is one of the most significant optimization
problems in the electromagnetics community, and it affects the performance of wireless …