The teaching-learning-based optimization (TLBO) algorithm is finding a large number of
applications in different fields of engineering and science since its introduction in 2011. The …

Particle swarm optimization (PSO) is a stochastic population-based optimization algorithm
inspired by the interactions of individuals in a social world. This algorithm is widely applied …

Metaheuristics are an impressive area of research with extremely important improvements in
the solution of intractable optimization problems. Major advances have been made since the …

This study introduces an effective population-based optimization algorithm, namely the
Golden Search Optimization Algorithm (GSO), for numerical function optimization. The new …

Three simple metaphor-less optimization algorithms are developed in this paper for solving
the unconstrained and constrained optimization problems. These algorithms are based on …

Electrostatic Force is one of the fundamental force of physical world. The concept of electric
field and charged particles provide us a strong theory for the working force of attraction or …

A simple yet powerful optimization algorithm is proposed in this paper for solving the
constrained and unconstrained optimization problems. This algorithm is based on the …

The teaching-learning-based artificial bee colony (TLABC) is a new hybrid swarm-based
metaheuristic search algorithm. It combines the exploitation of the teaching learning-based …

An outlier is a datum that is far from other data points in which it occurs. It can have a
considerable impact on the output. Therefore, removing or resolving it before the analysis is …

The photovoltaic (PV) system has attracted attention in recent years for generating more
power and freer from pollution and being eco-friendly to the environment. Nonetheless, the …