Throughout the centuries, nature has been a source of inspiration, with much still to learn
from and discover about. Among many others, Swarm Intelligence (SI), a substantial branch …

Abstract The Sine Cosine Algorithm (SCA) is a population-based optimization algorithm
introduced by Mirjalili in 2016, motivated by the trigonometric sine and cosine functions …

COVID-19 is currently raging worldwide, with more patients being diagnosed every day. It
usually is diagnosed by examining pathological photographs of the patient's lungs. There is …

Data driven building energy consumption forecasting models play a significant role in
enhancing the energy efficiency of the buildings through building energy management …

An efficient swarm intelligence algorithm is proposed to solve continuous multi-type
optimization problems, named the fata morgana algorithm (FATA). By mimicking the process …

Feature selection, an optimization problem, becomes an important pre-process tool in data
mining, which simultaneously aims at minimizing feature-size and maximizing model …

Identifying the optimum parameters of photovoltaic models based on the measured current-
voltage info is a vital step in monitoring, simulating, and optimizing the photovoltaic systems …

In the realm of solving complex optimization problems, it becomes crucial to fulfill multiple
objectives to achieve optimal system performance while adhering to various conditions and …

Abstract Sine Cosine Algorithm (SCA) is a recent meta-heuristic algorithm inspired by the
proprieties of trigonometric sine and cosine functions. Since its introduction by Mirjalili in …

Kernel extreme learning machine (KELM) has been widely used in the fields of classification
and identification since it was proposed. As the parameters in the KELM model have a …