Salp swarm algorithm: a comprehensive survey

L Abualigah, M Shehab, M Alshinwan… - Neural Computing and …, 2020 - Springer
This paper completely introduces an exhaustive and a comprehensive review of the so-
called salp swarm algorithm (SSA) and discussions its main characteristics. SSA is one of …

A review of the modification strategies of the nature inspired algorithms for feature selection problem

R Abu Khurma, I Aljarah, A Sharieh, M Abd Elaziz… - Mathematics, 2022 - mdpi.com
This survey is an effort to provide a research repository and a useful reference for
researchers to guide them when planning to develop new Nature-inspired Algorithms …

Wild horse optimizer: A new meta-heuristic algorithm for solving engineering optimization problems

I Naruei, F Keynia - Engineering with computers, 2022 - Springer
Nowadays, the design of optimization algorithms is very popular to solve problems in
various scientific fields. The optimization algorithms usually inspired by the natural …

Hunter–prey optimization: Algorithm and applications

I Naruei, F Keynia, A Sabbagh Molahosseini - Soft Computing, 2022 - Springer
This paper proposes a new population-based optimization algorithm called hunter–prey
optimizer (HPO). This algorithm is inspired by the behavior of predator animals such as …

Harris hawks optimization: Algorithm and applications

AA Heidari, S Mirjalili, H Faris, I Aljarah… - Future generation …, 2019 - Elsevier
In this paper, a novel population-based, nature-inspired optimization paradigm is proposed,
which is called Harris Hawks Optimizer (HHO). The main inspiration of HHO is the …

Dynamic salp swarm algorithm for feature selection

M Tubishat, S Ja'afar, M Alswaitti, S Mirjalili… - Expert Systems with …, 2021 - Elsevier
Recently, many optimization algorithms have been applied for Feature selection (FS)
problems and show a clear outperformance in comparison with traditional FS methods …

An efficient salp swarm-inspired algorithm for parameters identification of photovoltaic cell models

R Abbassi, A Abbassi, AA Heidari, S Mirjalili - Energy conversion and …, 2019 - Elsevier
Abstract Solar Photovoltaic systems (SPVSs) are becoming one of the most popular
renewable energy technology for generating significant share of electric power. With the …

Harris hawks optimization: a comprehensive review of recent variants and applications

HM Alabool, D Alarabiat, L Abualigah… - Neural computing and …, 2021 - Springer
Harris hawks optimizer (HHO) has received widespread attention among researchers in
terms of the performance, quality of results, and its acceptable convergence in dealing with …

Binary Horse herd optimization algorithm with crossover operators for feature selection

MA Awadallah, AI Hammouri, MA Al-Betar… - Computers in biology …, 2022 - Elsevier
This paper proposes a binary version of Horse herd Optimization Algorithm (HOA) to tackle
Feature Selection (FS) problems. This algorithm mimics the conduct of a pack of horses …

Binary dragonfly optimization for feature selection using time-varying transfer functions

M Mafarja, I Aljarah, AA Heidari, H Faris… - Knowledge-Based …, 2018 - Elsevier
Abstract The Dragonfly Algorithm (DA) is a recently proposed heuristic search algorithm that
was shown to have excellent performance for numerous optimization problems. In this …