Recently, meta-heuristic algorithms have made remarkable progress in solving types of
complex and NP-hard problems. So that, most of this algorithms are inspired by swarm …

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 …

The search for powerful optimizers has led to the development of a multitude of
metaheuristic algorithms inspired from all areas. This work focuses on the animal kingdom …

Feature selection (FS) is a machine learning process commonly used to reduce the high
dimensionality problems of datasets. This task permits to extract the most representative …

A new optimization method namely the Search and Rescue optimization algorithm (SAR) is
presented here to solve constrained engineering optimization problems. This metaheuristic …

This paper introduces a novel metaheuristic optimization method called the lightning search
algorithm (LSA) to solve constraint optimization problems. It is based on the natural …

Optimization and decision making problems in various fields of engineering have a major
impact in this current era. Processing time and utilizing memory is very high for the currently …

Solar cell model is used in various studies of photovoltaic system. Different methods have
been developed to determine model parameters. In this paper, an optimization technique …

This paper improves the performance of the recently-proposed Whale Optimization
Algorithm (WOA). WOA is a meta-heuristic that simulates the foraging behavior of humpback …

Grey wolf optimizer (GWO) is a newly developed metaheuristic inspired by hunting
mechanism of grey wolves. The paramount challenge in GWO is that it is prone to stagnation …