Intelligent optimization: Literature review and state-of-the-art algorithms (1965–2022)
Today, intelligent optimization has become a science that few researchers have not used in
dealing with problems in their field. Diversity and flexibility have made the use, efficiency …
dealing with problems in their field. Diversity and flexibility have made the use, efficiency …
Nature-inspired metaheuristic search algorithms for optimizing benchmark problems: inclined planes system optimization to state-of-the-art methods
In the literature, different types of inclined planes system optimization (IPO) algorithms have
been proposed and evaluated in various applications. Due to the large number of variants …
been proposed and evaluated in various applications. Due to the large number of variants …
Optimal day-ahead energy planning of multi-energy microgrids considering energy storage and demand response
R Chang, Y Xu, A Fars - International Journal of Hydrogen Energy, 2023 - Elsevier
Due to the environmental and economic advantages of combined heat and power (CHP)
units, their use in power grids has expanded. The entry of CHP into power systems …
units, their use in power grids has expanded. The entry of CHP into power systems …
Using Harris hawk optimization towards support vector regression to ozone prediction
As an area experiencing air pollution, especially ozone concentrations that often exceed the
threshold or are unhealthy, JABODETABEK (Jakarta, Bogor, Depok, Tangerang, and …
threshold or are unhealthy, JABODETABEK (Jakarta, Bogor, Depok, Tangerang, and …
Maximizing virtual power plant profit: A two-level optimization model for energy market participation
W He - Computers and Electrical Engineering, 2024 - Elsevier
Managing dispersed generation via virtual power plants (VPPs) is crucial for maximizing
profits in electricity markets. This paper presents a model aimed at maximizing VPP profit …
profits in electricity markets. This paper presents a model aimed at maximizing VPP profit …
[PDF][PDF] A condition-based grey wolf optimizer algorithm for global optimization problems
S Akhavan-Nasab, Z Beheshti - Journal of Soft Computing and …, 2022 - research.iaun.ac.ir
Many real-world optimization problems are complex and high-dimensional problems. In the
problems, the search space grows exponentially as the problem dimension increases …
problems, the search space grows exponentially as the problem dimension increases …
BMPA-DSL: Binary Marine Predators Algorithm to Identify Driver's Different Levels of Stress
In smart cars, checking driver's conditions is necessary for safe driving. Stress is a
destructive emotional state that causes drivers not to make timely decisions and brings …
destructive emotional state that causes drivers not to make timely decisions and brings …
Automation and Computational Intelligence for Road Maintenance and Management: Advances and Applications
Automation and Computational Intelligence for Road Maintenance and Management A
comprehensive computational intelligence toolbox for solving problems in infrastructure …
comprehensive computational intelligence toolbox for solving problems in infrastructure …
Binary Water Stream Algorithm: A New Metaheuristic Optimization Technique
FR Sebdani, M Nasri - 2023 14th International Conference on …, 2023 - ieeexplore.ieee.org
In recent years, the use of metaheuristic algorithms in solving optimization and data mining
problems has been widely embraced. These algorithms have shown significant efficiency in …
problems has been widely embraced. These algorithms have shown significant efficiency in …
TLBO-Based Optimal Speed Controller Design for Induction Motors Using Fuzzy Sliding Mode Controller
A Alfi - مجله علمی رایانش نرم و فناوری اطلاعات, 2017 - jscit.nit.ac.ir
Mobile Ad Hoc Network (MANET) is a special and attractive type of new wireless networks. It
is an autonomous system that can dynamically be set up anywhere and anytime without …
is an autonomous system that can dynamically be set up anywhere and anytime without …