Genetic algorithms: Theory, genetic operators, solutions, and applications

B Alhijawi, A Awajan - Evolutionary Intelligence, 2024‏ - Springer
A genetic algorithm (GA) is an evolutionary algorithm inspired by the natural selection and
biological processes of reproduction of the fittest individual. GA is one of the most popular …

A comprehensive survey on recent metaheuristics for feature selection

T Dokeroglu, A Deniz, HE Kiziloz - Neurocomputing, 2022‏ - Elsevier
Feature selection has become an indispensable machine learning process for data
preprocessing due to the ever-increasing sizes in actual data. There have been many …

Artificial rabbits optimization: A new bio-inspired meta-heuristic algorithm for solving engineering optimization problems

L Wang, Q Cao, Z Zhang, S Mirjalili, W Zhao - Engineering Applications of …, 2022‏ - Elsevier
In this paper, a new bio-inspired meta-heuristic algorithm, named artificial rabbits
optimization (ARO), is proposed and tested comprehensively. The inspiration of the ARO …

A sinh cosh optimizer

J Bai, Y Li, M Zheng, S Khatir, B Benaissa… - Knowledge-Based …, 2023‏ - Elsevier
Currently, meta-heuristic algorithms have been widely studied and applied, but balancing
exploration and exploitation remains a challenge. In this study, a novel meta-heuristic …

Energy valley optimizer: a novel metaheuristic algorithm for global and engineering optimization

M Azizi, U Aickelin, H A. Khorshidi… - Scientific Reports, 2023‏ - nature.com
Abstract In this paper, Energy Valley Optimizer (EVO) is proposed as a novel metaheuristic
algorithm inspired by advanced physics principles regarding stability and different modes of …

Metaheuristic algorithms for PID controller parameters tuning: Review, approaches and open problems

SB Joseph, EG Dada, A Abidemi, DO Oyewola… - Heliyon, 2022‏ - cell.com
The simplicity, transparency, reliability, high efficiency and robust nature of PID controllers
are some of the reasons for their high popularity and acceptance for control in process …

Honey Badger Algorithm: New metaheuristic algorithm for solving optimization problems

FA Hashim, EH Houssein, K Hussain… - … and Computers in …, 2022‏ - Elsevier
Recently, the numerical optimization field has attracted the research community to propose
and develop various metaheuristic optimization algorithms. This paper presents a new …

Triangulation topology aggregation optimizer: A novel mathematics-based meta-heuristic algorithm for continuous optimization and engineering applications

S Zhao, T Zhang, L Cai, R Yang - Expert Systems with Applications, 2024‏ - Elsevier
In recent years, numerous meta-heuristic algorithms based on swarm intelligence have
been proposed and widely popularized. Although algorithms are designed by some specific …

[HTML][HTML] The Hiking Optimization Algorithm: A novel human-based metaheuristic approach

SO Oladejo, SO Ekwe, S Mirjalili - Knowledge-Based Systems, 2024‏ - Elsevier
In this paper, a novel metaheuristic called 'The Hiking Optimization Algorithm'(HOA) is
proposed. HOA is inspired by hiking, a popular recreational activity, in recognition of the …

African vultures optimization algorithm: A new nature-inspired metaheuristic algorithm for global optimization problems

B Abdollahzadeh, FS Gharehchopogh… - Computers & Industrial …, 2021‏ - Elsevier
Metaheuristics play a crucial role in solving optimization problems. The majority of such
algorithms are inspired by collective intelligence and foraging of creatures in nature. In this …