An improved grasshopper optimization algorithm (GOA) is proposed in this paper, termed as
SGOA, which combines simulated annealing (SA) mechanism with the original GOA that is a …

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 …

With the recent emphasis on new energy sources, solar photovoltaic cells have received
widespread attention from scholars as a highly efficient and clean new energy source …

As a typical nature-inspired swarm intelligence algorithm, because of the simple framework
and good optimization performance, salp swarm algorithm (SSA) has been extensively …

This study proposed an improved sine–cosine algorithm (SCA) for global optimization tasks.
The SCA is a meta-heuristic method ground on sine and cosine functions. It has found its …

The sine cosine algorithm (SCA) is a population-based metaheuristic strategy that has been
demonstrated competitive performance and has received significant attention from scientists …

Abstract Sine Cosine Algorithm (SCA), as a recently viral population-based meta-heuristic,
which is in the extensive application for a variety of optimization cases. Regardless of the …

This paper proposes a hybrid sine cosine butterfly optimization algorithm (m-SCBOA), in
which a modified butterfly optimization algorithm is combined with sine cosine algorithm to …

Solar photovoltaic (PV) model parameter estimation research is a growing field of interest.
To establish accurate and reliable PV models, including single diode, double diode, three …

Several metaheuristic methods have been applied to tackling various global and
engineering optimization problems. However, this method still needs more improvement …