Results 1 to 10 of about 173 (108)

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   +7 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   +5 more sources

Coronavirus herd immunity optimizer (CHIO). [PDF]

Neural Comput Appl, 2021
In this paper, a new nature-inspired human-based optimization algorithm is proposed which is called coronavirus herd immunity optimizer (CHIO). The inspiration of CHIO is originated from the herd immunity concept as a way to tackle coronavirus pandemic (COVID-19).
Al-Betar MA, Al-Betar MA, Alyasseri ZAA, Awadallah MA, Abu Doush I.   +4 more
europepmc   +7 more sources

Coronavirus Herd Immunity Optimizer (CHIO) for Transmission Expansion Planning [PDF]

2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2021
This paper presents a novel mathematical model to simultaneously tackle the economic dispatch (ED) problem considering valve point effect, load uncertainty, distributed generation (DG) uncertainty, incentive-based demand response, and plug-in electric vehicle into the transmission expansion planning (TEP) problem to minimize the total cost of the ...
Hemin Golpira, Amjad Anvari-Moghaddam
exaly   +6 more sources

Assessment of effective reactive power reserve in power system networks under uncertainty applying coronavirus herd immunity optimizer (CHIO) for operation simulation [PDF]

Electric Power Systems Research, 2023
The Reactive Power Reserve (RPR) is a very important indicator for voltage stability and is sensitive to the operating conditions of power systems. Thorough understanding of RPR, specifically Effective Reactive Reserve (ERR) under intermittent Wind Power (WP) and uncertain demand is essential and key focus of this research.
Tanmoy Malakar
exaly   +3 more sources

Coronavirus herd immunity optimizer (CHIO) [PDF]

, 2020
Abstract In this paper, a new nature-inspired human-based optimization algorithm is proposed which called Coronavirus Herd Immunity Optimizer (CHIO). The inspiration of CHIO is originated from the herd immunity concept as a way to tackle coronavirus pandemic (COVID-19).
Al-Betar MA, Alyasseri ZAA, Awadallah MA, Doush IA.   +3 more
europepmc   +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   +6 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

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   +5 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   +3 more sources