A comprehensive survey on aquila optimizer

B Sasmal, AG Hussien, A Das, KG Dhal - Archives of Computational …, 2023 - Springer
Aquila Optimizer (AO) is a well-known nature-inspired optimization algorithm (NIOA) that
was created in 2021 based on the prey grabbing behavior of Aquila. AO is a population …

[HTML][HTML] Machine learning approaches to modeling and optimization of biodiesel production systems: State of art and future outlook

NB Ishola, EI Epelle, E Betiku - Energy Conversion and Management: X, 2024 - Elsevier
One of the main limitations to the economic sustainability of biodiesel production remains
the high feedstock cost. Modeling and optimization are crucial steps to determine if …

Crayfish optimization algorithm

H Jia, H Rao, C Wen, S Mirjalili - Artificial Intelligence Review, 2023 - Springer
This paper proposes a meta heuristic optimization algorithm, called Crayfish Optimization
Algorithm (COA), which simulates crayfish's summer resort behavior, competition behavior …

MEALPY: An open-source library for latest meta-heuristic algorithms in Python

N Van Thieu, S Mirjalili - Journal of Systems Architecture, 2023 - Elsevier
Meta-heuristic algorithms are becoming more prevalent and have been widely applied in
various fields. There are numerous reasons for the success of such techniques in both …

A reinforcement learning-based metaheuristic algorithm for solving global optimization problems

A Seyyedabbasi - Advances in Engineering Software, 2023 - Elsevier
The purpose of this study is to utilize reinforcement learning in order to improve the
performance of the Sand Cat Swarm Optimization algorithm (SCSO). In this paper, we …

Short-term rockburst damage assessment in burst-prone mines: an explainable XGBOOST hybrid model with SCSO algorithm

Y Qiu, J Zhou - Rock Mechanics and Rock Engineering, 2023 - Springer
Rockburst can cause significant damage to infrastructure and equipment, and pose a
substantial risk to the safety of mine workers. Effective prediction of short-term rockburst …

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 …

WOASCALF: A new hybrid whale optimization algorithm based on sine cosine algorithm and levy flight to solve global optimization problems

A Seyyedabbasi - Advances in Engineering Software, 2022 - Elsevier
In recent years, researchers have been focused on solving optimization problems in order to
determine the global optimum. Increasing the dimension of a problem increases its …

Walrus optimizer: A novel nature-inspired metaheuristic algorithm

M Han, Z Du, KF Yuen, H Zhu, Y Li, Q Yuan - Expert Systems with …, 2024 - Elsevier
Metaheuristic algorithms are intelligent optimization approaches that lead the searching
procedure through utilizing exploitation and exploration. The increasing complexity of real …

Dung beetle optimization algorithm based on quantum computing and multi-strategy fusion for solving engineering problems

F Zhu, G Li, H Tang, Y Li, X Lv, X Wang - Expert Systems with Applications, 2024 - Elsevier
The Dung beetle optimization algorithm is a kind of group intelligence optimization algorithm
proposed by Jiankai Xue in 2022, which has the characteristics of strong optimization …