Results 51 to 60 of about 2,430 (215)

Selecting Appropriate Risk Response Strategies Considering Utility Function and Budget Constraints: A Case Study of a Construction Company in Iran

Buildings, 2022
Successful implementation of construction projects worldwide calls for a set of effective risk management plans in which uncertainties associated with risks and effective response strategies are addressed meticulously. Thus, this study aims to provide an
Mojgan Safaeian, Amir M. Fathollahi-Fard, Kamyar Kabirifar, Maziar Yazdani, Mohammad Shapouri   +4 more
doaj   +1 more source

Solving the Combined Heat and Power Economic Dispatch Problem in Different Scale Systems Using the Imperialist Competitive Harris Hawks Optimization Algorithm

Biomimetics, 2023
The aim of electrical load dispatch (ELD) is to achieve the optimal planning of different power plants to supply the required power at the minimum operation cost.
Amir Nazari, Hamdi Abdi
doaj   +1 more source

Detecting spam using Harris Hawks optimizer as a feature selection algorithm [PDF]

The Harris Hawks optimization (HHO) was used in this study to enhance spam identification. Only the features with a high influence on spam detection have been selected using the HHO metaheuristic technique.
Abu-Shareha, Ahmad Adel, Abualhaj, Mosleh M., Alsaaidah, Adeeb M., Nabil Alkhatib, Sumaya, Shambour, Qusai Y.   +4 more
core   +2 more sources

Improved Harris Hawks Optimization Using Elite Opposition-Based Learning and Novel Search Mechanism for Feature Selection

IEEE Access, 2020
The rapid increase in data volume and features dimensionality have a negative influence on machine learning and many other fields, such as decreasing classification accuracy and increasing computational cost.
Rami Sihwail, Khairuddin Omar, Khairul Akram Zainol Ariffin, Mohammad Tubishat   +3 more
doaj   +1 more source

Multi-objective Harris Hawk metaheuristic algorithms for the diagnosis of Parkinson's disease [PDF]

Parkinson's disease, an idiopathic neurological illness, affects over 1% of the global elderly population. Feature-based methods are frequently used to diagnose Parkinson's disease, and selecting the best feature set remains an ongoing and difficult ...
Dokeroglu, Tansel, Kucukyilmaz, Tayfun
core   +2 more sources

Optimized Parameter Extraction in Triple Diode Solar PV Models Using Kookaburra‐based Dwarf Mongoose Approach

Energy Science &Engineering, EarlyView.
ABSTRACT Improving photovoltaics (PV) system performance through simulation requires accurate PV models. The nonlinear relationship between current and voltage, coupled with incomplete manufacturer data, presents a significant challenge in parameter estimation.
Chappani Sankaran Sundar Ganesh, Chandrasekaran Kumar, Thangavel Swaminathan Sivakumaran, Sourav Barua   +3 more
wiley   +1 more source

Hybrid Aquila optimizer–Harris Hawks optimization for CNN hyperparameter tuning in brain tumor classification

Scientific Reports
Magnetic resonance imaging (MRI) is hard to categorize properly in terms of interclass similarity, there is data imbalance, and sensitive clinical decision-making: but the performance of convolutional neural networks (CNNs) highly relies on effective ...
Manoj Kumar, Noor Mohd, G. Shivam, Ankur Goyal, Deepak Parashar, Rijwan Khan   +5 more
doaj   +1 more source

Rat Swarm Optimizer for Data Clustering

Jordanian Journal of Computers and Information Technology, 2022
Rat Swarm Optimization (RSO) is one of the newest swarm intelligence optimization algorithms that is inspired from the behaviors of chasing and fighting of rats in nature. In this paper we will apply the RSO to one of the most challenging problems, which
Ibrahim Zebiri, Djamel Zeghida, Mohammed Redjimi   +2 more
doaj   +1 more source

Comparative Assessment and Benchmarking of Metaheuristic Algorithms for Dynamic Photovoltaic Array Reconfiguration Under Diverse Shading Environments

Energy Science &Engineering, EarlyView.
ABSTRACT The solar photovoltaic (PV) installations, which are essential for renewable energy systems, are vulnerable to partial shading, resulting in considerable power losses and operational inefficiencies. The dynamic reconfiguration of PV arrays has become an effective strategy to mitigate these effects by adaptively modifying the array topology to ...
Manoharan Premkumar, Ravichandran Sowmya, Jagarapu S. V. Siva Kumar, Mustafa Abdullah   +3 more
wiley   +1 more source

Parameter Estimation Techniques for Photovoltaic System Modeling

Energies, 2023
In improving PV system performance, the parameters associated with electrical photovoltaic equivalent models play a pivotal role. However, due to the increased mathematical complexities and non-linear traits of PV cells, the precise prediction of these ...
Manish Kumar Singla, Jyoti Gupta, Parag Nijhawan, Parminder Singh, Nimay Chandra Giri, Essam Hendawi, Mohamed I. Abu El-Sebah   +6 more
doaj   +1 more source