The artificial hummingbird algorithm (AHA) is a recently introduced versatile metaheuristic
optimizer that simulates flight patterns and intelligent foraging skills of hummingbirds. It has …

The optimal control of reactive powers in electrical systems can improve a system's
performance and security; this can be provided by the optimal reactive power dispatch …

The hunger games search algorithm (HGS) is a newly proposed metaheuristic algorithm that
emulates hunger-driven foraging behaviors in a population. It combines fitness values to …

Effective machine learning relies on feature selection (FS) to preprocess the data to search
for the best feature subset among all feature combinations, which is a global optimization …

Competitive swarm optimizer (CSO) has been concerned in recent years due to its
achievements in solving global optimization problems. However, the CSO algorithm still …

Rao algorithms that include three algorithms are very simple and parameter-less algorithms
with effective and desirable performance. This paper modifies these three algorithms …

In this study, a novel meta-heuristic search (MHS) algorithm for constrained global
optimization problems is proposed. Since many algorithms aim to achieve well-balanced …

To address the problems of low classification accuracy, redundancy of feature subsets, and
performance susceptibility to parameters in wrapper-based feature selection in traditional …

The electrical system performance can be improved considerably by controlling the reactive
power flow in the system. The reactive power control can be achieved by optimal reactive …

This paper presents an improved version of Linear Population Size Reduction Success
History Based Adaptive Differential Evolution (LSHADE) algorithm for solving global …