Genetic algorithms are on the rise in electromagnetics as design tools and problem solvers
because of their versatility and ability to optimize in complex multimodal search spaces. This …

The symbiotic organisms search algorithm is a very promising recent metaheuristic
algorithm. It has received a plethora of attention from all areas of numerical optimization …

In this paper, the algorithmic concepts of the Cuckoo-search (CK), Particle swarm
optimization (PSO), Differential evolution (DE) and Artificial bee colony (ABC) algorithms …

This article is a tutorial on using genetic algorithms to optimize antenna and scattering
patterns. Genetic algorithms are" global" numerical-optimization methods, patterned after the …

Optimization algorithms are widely employed for finding optimal solutions in many
applications. Stochastic optimization algorithms including nature-inspired optimization …

The recent shift in focus from defense and government work to commercial wireless efforts
has caused the job of the typical microwave engineer to change dramatically. The modern …

A method of using genetic algorithms to optimize the element spacing and lengths of Yagi-
Uda antennas is presented. A method of moments code, NEC2, performs the task of …

For the past 20 years, many authors have focused their investigations on wireless sensor
networks. Various issues related to wireless sensor networks such as energy minimization …

In this paper, a new two-population based global search algorithm, the Artificial Cooperative
Search Algorithm (ACS), is introduced. ACS algorithm has been developed to be used in …

Smart farming is one of the immense applications of Wireless Sensor Networks (WSN). Still,
most of the researches have been focusing on precision agriculture using WSNs. In general …