An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges

K Rajwar, K Deep, S Das - Artificial Intelligence Review, 2023 - Springer
As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …

A review on genetic algorithm: past, present, and future

S Katoch, SS Chauhan, V Kumar - Multimedia tools and applications, 2021 - Springer
In this paper, the analysis of recent advances in genetic algorithms is discussed. The genetic
algorithms of great interest in research community are selected for analysis. This review will …

[HTML][HTML] Coati Optimization Algorithm: A new bio-inspired metaheuristic algorithm for solving optimization problems

M Dehghani, Z Montazeri, E Trojovská… - Knowledge-Based …, 2023 - Elsevier
In this paper, a new metaheuristic algorithm called the Coati Optimization Algorithm (COA) is
introduced, which mimics coati behavior in nature. The fundamental idea of COA is the …

Nutcracker optimizer: A novel nature-inspired metaheuristic algorithm for global optimization and engineering design problems

M Abdel-Basset, R Mohamed, M Jameel… - Knowledge-Based …, 2023 - Elsevier
This work presents a novel nature-inspired metaheuristic called Nutcracker Optimization
Algorithm (NOA) inspired by Clark's nutcrackers. The nutcrackers exhibit two distinct …

Newton-Raphson-based optimizer: A new population-based metaheuristic algorithm for continuous optimization problems

R Sowmya, M Premkumar, P Jangir - Engineering Applications of Artificial …, 2024 - Elsevier
Abstract The Newton-Raphson-Based Optimizer (NRBO), a new metaheuristic algorithm, is
suggested and developed in this paper. The NRBO is inspired by Newton-Raphson's …

Snake Optimizer: A novel meta-heuristic optimization algorithm

FA Hashim, AG Hussien - Knowledge-Based Systems, 2022 - Elsevier
In recent years, several metaheuristic algorithms have been introduced in engineering and
scientific fields to address real-life optimization problems. In this study, a novel nature …

Artificial hummingbird algorithm: A new bio-inspired optimizer with its engineering applications

W Zhao, L Wang, S Mirjalili - Computer Methods in Applied Mechanics and …, 2022 - Elsevier
A new bio-inspired optimization algorithm called artificial hummingbird algorithm (AHA) is
proposed in this work to solve optimization problems. The AHA algorithm simulates the …

Aquila optimizer: a novel meta-heuristic optimization algorithm

L Abualigah, D Yousri, M Abd Elaziz, AA Ewees… - Computers & Industrial …, 2021 - Elsevier
This paper proposes a novel population-based optimization method, called Aquila Optimizer
(AO), which is inspired by the Aquila's behaviors in nature during the process of catching the …

The cheetah optimizer: A nature-inspired metaheuristic algorithm for large-scale optimization problems

MA Akbari, M Zare, R Azizipanah-Abarghooee… - Scientific reports, 2022 - nature.com
Motivated by the hunting strategies of cheetahs, this paper proposes a nature-inspired
algorithm called the cheetah optimizer (CO). Cheetahs generally utilize three main …

War strategy optimization algorithm: a new effective metaheuristic algorithm for global optimization

TSLV Ayyarao, NSS Ramakrishna… - Ieee …, 2022 - ieeexplore.ieee.org
This paper proposes a new metaheuristic optimization algorithm based on ancient war
strategy. The proposed War Strategy Optimization (WSO) is based on the strategic …