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 …

The Multilevel Fast Multipole Algorithm (MLFMA) for Solving Large-Scale Computational
Electromagnetic Problems provides a detailed and instructional overview of implementing …

A comparison between different modern population based optimization methods applied to
the design of scannable circular antenna arrays is presented in this paper. This design of …

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 …

Differential evolution (DE) is a simple yet powerful evolutionary algorithm (EA) for global
numerical optimization. However, its performance is significantly influenced by its …

This research work presents an exploratory study to find answers for managing traffic and
payloads in edge/fog zone of the networks. Initial deployments have shown that edge …

Surrogate-assisted evolutionary algorithms (SAEAs) have gained considerable attention
owing to their ability of tackling expensive optimization problems (EOPs). The surrogate …

The radiation pattern of the antenna arrays is most important problem in communications
technology. In this paper, the optimization of uniform circular antenna array is efficiently …