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Fire Hawk Optimizer: A novel metaheuristic algorithm
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 …
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 …
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
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 …
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
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 …
optimum design of engineering problems. Some advanced and basic aspects of material …
Electric fish optimization: a new heuristic algorithm inspired by electrolocation
Swarm behaviors in nature have inspired the emergence of many heuristic optimization
algorithms. They have attracted much attention, particularly for complex problems, owing to …
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
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 …
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
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 …
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
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) …
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
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 …
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
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 …
(MBT) for Software Product Line (SPL) has been increasing, due to the demand for optimal …