Results 51 to 60 of about 1,730 (172)

MSI-HHO: Multi-Strategy Improved HHO Algorithm for Global Optimization

Mathematics
The Harris Hawks Optimization algorithm (HHO) is a sophisticated metaheuristic technique that draws inspiration from the hunting process of Harris hawks, which has gained attention in recent years.
Haosen Wang, Jun Tang, Qingtao Pan
doaj   +1 more source

Is There Fairness in AI?

Journal of Management Studies, Volume 63, Issue 6, Page 3494-3531, September 2026.
Abstract As predictive artificial intelligence (AI) technologies increasingly steer workplace decisions, debates around fairness have intensified. Existing research often approaches fairness either as a set of universal principles supported or undermined by algorithms, or as a product of social interpretations, thereby providing either technologically ...
Elmira van den Broek, Anastasia Sergeeva, Marleen Huysman   +2 more
wiley   +1 more source

Optimizing the Steering of Driverless Personal Mobility Pods with a Novel Differential Harris Hawks Optimization Algorithm (DHHO) and Encoder Modeling

Sensors
This paper aims to improve the steering performance of the Ackermann personal mobility scooter based on a new meta-heuristic optimization algorithm named Differential Harris Hawks Optimization (DHHO) and the modeling of the steering encoder. The steering
Mohamed Reda, Ahmed Onsy, Amira Y. Haikal, Ali Ghanbari   +3 more
doaj   +1 more source

Distributed Generators Optimization Based on Multi-Objective Functions Using Manta Rays Foraging Optimization Algorithm (MRFO)

Energies, 2020
Manta Ray Foraging Optimization Algorithm (MRFO) is a new bio-inspired, meta-heuristic algorithm. MRFO algorithm has been used for the first time to optimize a multi-objective problem. The best size and location of distributed generations (DG) units have
Mahmoud G. Hemeida, Salem Alkhalaf, Al-Attar A. Mohamed, Abdalla Ahmed Ibrahim, Tomonobu Senjyu   +4 more
doaj   +1 more source

Disturbance observer aided optimised fractional‐order three‐degree‐of‐freedom tilt‐integral‐derivative controller for load frequency control of power systems

IET Generation, Transmission & Distribution, 2021
This work demonstrates a maiden application of a fractional‐order based three‐degree‐of‐freedom tilt‐integral‐derivative controller for escalating the load frequency control performance of power system having wind power generator integrated.
Dipayan Guha, Provas Kumar Roy, Subrata Banerjee   +2 more
doaj   +1 more source

Unshrouding Social Determinants: A Case for Standardised Data in Australia's Health Information Ecosystem

Medical Journal of Australia, Volume 224, Issue 8, August 2026.
ABSTRACT Australia's health information system captures clinical and administrative data with precision but overlooks social determinants of health (SDoH), such as housing and education. This deficiency limits predictive accuracy of clinical and economic models and perpetuates health inequities. Despite significant investment in digital health reforms,
Christopher Ryan, Christine T. Shiner, Rebecca J. Harris, Carrie Lethborg, Vijaya Sundararajan   +4 more
wiley   +1 more source

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

Energy Science &Engineering, Volume 14, Issue 7, Page 3272-3309, July 2026.
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

Efficient cluster-based routing protocol for wireless sensor networks by using collaborative-inspired Harris Hawk optimization and fuzzy logic.

PLoS ONE
In wireless sensor networks, the implementation of clustering and routing protocols has been crucial in prolonging the network's operational duration by conserving energy. However, the challenge persists in efficiently optimizing energy usage to maximize
Huangshui Hu, Xinji Fan, Chuhang Wang
doaj   +1 more source

Improved Harris Hawks Optimization Based on Adaptive Cooperative Foraging and Dispersed Foraging Strategies

IEEE Access, 2020
Harris hawks optimization (HHO) is a new swarm intelligence optimization technique. Because of its simple structure and easy to implement, HHO has attracted research interest from scholars in different fields.
Xuncai Zhang, Kai Zhao, Ying Niu
doaj   +1 more source

Multi-objective Harris Hawk metaheuristic algorithms for the diagnosis of Parkinson’s disease

Expert Systems with Applications
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 challenge.
Tansel Dökeroglu, Tayfun Kucukyilmaz
openaire   +2 more sources