Abstract The Mountain Gazelle Optimizer (MGO), a novel meta-heuristic algorithm inspired
by the social life and hierarchy of wild mountain gazelles, is suggested in this paper. In this …

Metaheuristics play a critical role in solving optimization problems, and most of them have
been inspired by the collective intelligence of natural organisms in nature. This paper …

Nature-inspired optimization algorithms, especially swarm based algorithms (SAs), solve
many scientific and engineering problems due to their flexibility and simplicity. These …

Direct connectivity in L/S frequency bands between satellites and common mobile terrestrial
user equipment (UE), such as smartphones, is an essential feature for future 6G non …

An ecologically inspired optimization algorithm, called invasive weed optimization (IWO), is
presented for the design of non-uniform, planar, and circular antenna arrays that can …

This paper presents a novel binary algorithm named as binary spider monkey optimization
(binSMO) for thinning of concentric circular antenna arrays (CCAA). The proposed algorithm …

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 …

In this paper, the authors present an optimization method based on modified Particle Swarm
Optimization (PSO) algorithm for thinning large multiple concentric circular ring arrays of …

This study presents a novel optimisation algorithm biogeography-based optimisation (BBO)
for thinning large multiple concentric circular ring arrays. The objective is to achieve an array …

A novel approach to suppress the maximum sidelobe level (SLL) with specific half power
beam width (HPBW) of concentric circular antenna array (CCAA) is proposed. The approach …