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 …

Fifth-generation (5G) cellular networks will almost certainly operate in the high-bandwidth,
underutilized millimeter-wave (mmWave) frequency spectrum, which offers the potentiality of …

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 …

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 …

In this paper, the design of non-uniform circular antenna arrays with optimum side lobe level
reduction is presented. The particle swarm optimization (PSO) method, which represents a …

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 …

Reconfigurable antenna arrays are often capable of radiating multiple patterns by modifying
the excitation phases of the elements. In this paper a method based on Firefly Algorithm (FA) …

Scanning a planar array in the xz plane directs the beam peak to any direction off the
broadside along the same plane. Reduction of sidelobe level in concentric ring array of …