A comprehensive survey on aquila optimizer
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 …
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
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 …
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 …
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 …
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 …
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
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 …
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 …
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 …
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 …
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 …
proposed by Jiankai Xue in 2022, which has the characteristics of strong optimization …