Results 1 to 10 of about 314 (122)

MOCHIO: a novel Multi-Objective Coronavirus Herd Immunity Optimization algorithm for solving brushless direct current wheel motor design optimization problem [PDF]

Automatika, 2022
A prominent and realistic problem in magnetics is the optimal design of a brushless direct current (BLDC) motor. A key challenge is designing a BLDC motor to function efficiently with a minimum cost of materials to achieve maximum efficiency. Recently, a 
C. Kumar, D. Magdalin Mary, T. Gunasekar
doaj   +9 more sources

Enhancing Individual UAV Path Planning With Parallel Multi-Swarm Treatment Coronavirus Herd Immunity Optimizer (PMST-CHIO) Algorithm [PDF]

IEEE Access
This paper introduces the PMST-CHIO, a novel variant of the Coronavirus Herd Immunity Optimizer (CHIO) algorithm, exclusively tailored for individual unmanned aerial vehicle (UAV) path planning in complex 3D environments. While acknowledging and building
Allouani Fouad, Abdelaziz Abboudi, Chris Huyck, Xiao-Zhi Gao, Sofiane Bououden, Ilyes Boulkaibet, Nadhira Khezami, Hanen Shall   +7 more
doaj   +6 more sources

Automatic detection and prediction of COVID-19 in cough audio signals using coronavirus herd immunity optimizer algorithm [PDF]

Scientific Reports
The global spread of COVID-19, particularly through cough symptoms, necessitates efficient diagnostic tools. COVID-19 patients exhibit unique cough sound patterns distinguishable from other respiratory conditions.
G. Ayappan, S. Anila
doaj   +4 more sources

Archive-based coronavirus herd immunity algorithm for optimizing weights in neural networks [PDF]

Neural Computing and Applications, 2023
The success of the supervised learning process for feedforward neural networks, especially multilayer perceptron neural network (MLP), depends on the suitable configuration of its controlling parameters (i.e., weights and biases). Normally, the gradient descent method is used to find the optimal values of weights and biases. The gradient descent method
Iyad Abu Doush, Mohammed A Awadallah, Sharif Naser Makhadmeh   +2 more
exaly   +4 more sources

A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem [PDF]

Journal of King Saud University: Computer and Information Sciences, 2022
Capacitated Vehicle routing problem is NP-hard scheduling problem in which the main concern is to find the best routes with minimum cost for a number of vehicles serving a number of scattered customers under some vehicle capacity constraint.
Lamees Mohammad Dalbah, Mohammed Azmi Al-Betar, Mohammed A. Awadallah, Raed Abu Zitar   +3 more
doaj   +4 more sources

Optimal location of PMUs for full observability of power system using coronavirus herd immunity optimizer [PDF]

Heliyon
Phasor measurement units (PMU) are currently considered as an essential step toward the future smart grid due to their capability in increasing the power system's situation awareness.
Mohammed A. Alghassab, Ahmed Y. Hatata, Ahmed H. Sokrana, Magdi M. El-Saadawi   +3 more
doaj   +4 more sources

A Modified Coronavirus Herd Immunity Optimizer for the Power Scheduling Problem

Mathematics, 2022
The Coronavirus herd immunity optimizer (CHIO) is a new human-based optimization algorithm that imitates the herd immunity strategy to eliminate of the COVID-19 disease.
Sharif Naser Makhadmeh, Mohammed Azmi Al-Betar, Mohammed A. Awadallah, Ammar Kamal Abasi, Zaid Abdi Alkareem Alyasseri, Iyad Abu Doush, Osama Ahmad Alomari, Robertas Damaševičius, Audrius Zajančkauskas, Mazin Abed Mohammed   +9 more
doaj   +3 more sources

Economical-Environmental-Technical Operation of Power Networks with High Penetration of Renewable Energy Systems Using Multi-Objective Coronavirus Herd Immunity Algorithm

Mathematics, 2022
This paper proposes an economical-environmental-technical dispatch (EETD) model for adjusted IEEE 30-bus and IEEE 57-bus systems, including thermal and high penetration of renewable energy sources (RESs).
Ziad M. Ali, Shady H. E. Abdel Aleem, Ahmed I. Omar, Bahaa Saad Mahmoud   +3 more
doaj   +3 more sources

Multi-level optimal energy management strategy for a grid tied microgrid considering uncertainty in weather conditions and load [PDF]

Scientific Reports
Microgrids require efficient energy management systems to optimize the operation of microgrid sources and achieve economic efficiency. Bi-level energy management model is proposed in this paper to minimize the operational cost of a grid-tied microgrid ...
H. E. Keshta, E. G. Hassaballah, A. A. Ali, K. M. Abdel-Latif   +3 more
doaj   +2 more sources

MCHIAO: a modified coronavirus herd immunity-Aquila optimization algorithm based on chaotic behavior for solving engineering problems

Neural Computing and Applications
AbstractThis paper proposes a hybrid Modified Coronavirus Herd Immunity Aquila Optimization Algorithm (MCHIAO) that compiles the Enhanced Coronavirus Herd Immunity Optimizer (ECHIO) algorithm and Aquila Optimizer (AO). As one of the competitive human-based optimization algorithms, the Coronavirus Herd Immunity Optimizer (CHIO) exceeds some other ...
Amira Y Haikal, Mahmoud M Saafan
exaly   +2 more sources