Fire Hawk Optimizer: A novel metaheuristic algorithm

M Azizi, S Talatahari, AH Gandomi - Artificial Intelligence Review, 2023 - Springer
This study proposes the Fire Hawk Optimizer (FHO) as a novel metaheuristic algorithm
based on the foraging behavior of whistling kites, black kites and brown falcons. These birds …

Atomic orbital search: A novel metaheuristic algorithm

M Azizi - Applied Mathematical Modelling, 2021 - Elsevier
In this paper, the Atomic Orbital Search (AOS) is proposed as a novel metaheuristic
algorithm for optimization purposes. The main concept of this algorithm is based on some …

Optimization of constrained mathematical and engineering design problems using chaos game optimization

S Talatahari, M Azizi - Computers & Industrial Engineering, 2020 - Elsevier
In the past few decades, many different metaheuristic algorithms have been developed for
optimization purposes each of which have specific advantages and disadvantages due to …

[HTML][HTML] Material generation algorithm: A novel metaheuristic algorithm for optimization of engineering problems

S Talatahari, M Azizi, AH Gandomi - Processes, 2021 - mdpi.com
A new algorithm, Material Generation Algorithm (MGA), was developed and applied for the
optimum design of engineering problems. Some advanced and basic aspects of material …

Electric fish optimization: a new heuristic algorithm inspired by electrolocation

S Yilmaz, S Sen - Neural Computing and Applications, 2020 - Springer
Swarm behaviors in nature have inspired the emergence of many heuristic optimization
algorithms. They have attracted much attention, particularly for complex problems, owing to …

A novel modularity-based discrete state transition algorithm for community detection in networks

X Zhou, K Yang, Y **e, C Yang, T Huang - Neurocomputing, 2019 - Elsevier
Complex network analysis is a hot topic in the data mining area which aims to reveal the
hidden information behind a network. As an important tool in complex network analysis …

Set-point tracking and multi-objective optimization-based PID control for the goethite process

X Zhou, J Zhou, C Yang, W Gui - IEEE access, 2018 - ieeexplore.ieee.org
The goethite process is complicated since its chemical reactions interact with each other,
making its control and optimization in industrial production difficult. The goal of the goethite …

Dynamic multi-objective optimization arising in iron precipitation of zinc hydrometallurgy

J Han, C Yang, X Zhou, W Gui - Hydrometallurgy, 2017 - Elsevier
The additions of oxygen and zinc oxide for the goethite process determine the cost and
efficiency of the iron precipitation process. As the two production targets (cost and efficiency) …

An integrated prediction model of heavy metal ion concentration for iron electrocoagulation process

F Zhang, C Yang, H Zhu, Y Li, W Gui - Chemical Engineering Journal, 2020 - Elsevier
In the electrocoagulation process of the heavy metal wastewater treatment, the acquisition of
the heavy metal ions concentration at outlet requires long-term analysis, resulting in delayed …

Cost-effective test case generation with the hyper-heuristic for software product line testing

RA Sulaiman, DNA Jawawi, SA Halim - Advances in Engineering Software, 2023 - Elsevier
Implementation of optimization algorithm for test case generation in Model-Based Testing
(MBT) for Software Product Line (SPL) has been increasing, due to the demand for optimal …