Results 61 to 70 of about 533 (182)

Developing a Quadratic Interpolation Northern Goshawk Optimiser and Its Application for Solving Electrical Engineering Problems

IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.
We propose an enhanced metaheuristic algorithm, quadratic interpolation northern goshawk optimisation (QINGO), that integrates the generalised quadratic interpolation method into the northern goshawk optimisation framework. The proposed algorithm shows superior convergence, stability, and accuracy compared with several existing methods on standard ...
Ahmed H. A. Adam, Salah Kamel, Mohamed H. Hassan   +2 more
wiley   +1 more source

Estimating Narwhal (Monodon monoceros) Age Using Epigenetic Analysis of Skin

Marine Mammal Science, Volume 42, Issue 1, January 2026.
ABSTRACT Age is an important parameter to understand species life‐history characteristics. Recently, DNA methylation methods have emerged as innovative tools to estimate the age of marine mammals. Narwhal (Monodon monoceros) epigenetic age estimates were computed using beluga (Delphinapterus leucas), killer whale (Orcinus orca), bowhead (Balaena ...
Cortney A. Watt, Joanne Whitehead, Ashley Elliott, Lisa Loseto, Justine Hudson, Julia L. MacIsaac, Kristy Dever, Robert T. Brooke, Milda Milčiūtė, Juozas Gordevicius, Michael S. Kobor   +10 more
wiley   +1 more source

Research on Parameter Inversion and Settlement Prediction for Metro Shield Tunneling beneath Existing Building Clusters

Chengshi guidao jiaotong yanjiu
ObjectiveTo address the challenge of determining key stratum parameters during shield tunneling beneath existing building clusters, a Beluga Whale Optimization-FLAC3D (BWO-FLAC3D) method is proposed,which utilizes settlement monitoring data to enable the
Junyuan LIAO, Shunlei ZHAO, Wu XU, Dengfeng ZHOU, Weizhe SUN   +4 more
doaj   +1 more source

Short‐ and Long‐Term Load Forecasting Using VMD With Temporal Dual Learners Network: A Case Study in Kuwait

International Journal of Energy Research, Volume 2026, Issue 1, 2026.
Forecasting the demand for electrical load precisely is essential for the steady and energy‐efficient operation of today’s power systems, especially in places where there is much variability in demand. In this study, we propose a novel hybrid deep learning framework, termed variational mode decomposition with temporal dual learners network (VMD‐TDLNet),
Maha Alqallaf, Nour Hameed Hasan, Dina Alostath, Salman Zakareya, Özgür Ömer Ersin   +4 more
wiley   +1 more source

Frequency Regulation in Interconnected Power System Through Enhanced Beluga Whale Optimized Flatness-Based Active Disturbance Rejection Control

IEEE Access
Ever-increasing dynamic surges in renewable-based electric power systems, notably wind and photovoltaic farms bring adverse impacts and challenges in terms of reliability and stability.
Shahzad Ali, Yuanqing Xia, Zohaib Ahmad Khan, Abid Ali, Qamar Navid, Khursheed Aurangzeb, Muhammad Shahid Anwar   +6 more
doaj   +1 more source

Energy Consumption Prediction Based on PSO–LSTM: A Case Study for a Hospital Heating System

International Journal of Energy Research, Volume 2026, Issue 1, 2026.
Global climate change is closely related to the continuous growth of building energy consumption. Therefore, studying and reducing building energy consumption is of great significance for improving the global energy consumption situation. Hospitals, as high‐energy‐consuming public buildings, require urgent research on energy conservation and reduction.
Yu Liu, Jinliang Wang, Yinan Zhao, Chao Deng, Xing Yuan, Siyuan Tian, Weixiang Gao, Chika Maduabuchi   +7 more
wiley   +1 more source

Year‐Long Robust DG Allocation and Probability‐Based Battery Scheduling in Uncertain Hybrid Renewable Energy System Using GO and BRO Algorithms

International Transactions on Electrical Energy Systems, Volume 2026, Issue 1, 2026.
Escalating load demand at the distribution level necessitates the incorporation of distributed generators (DGs) into power systems. Consequently, the utilization of DGs into power systems based on renewable energy has become a primary approach in the pursuit of affordable and sustainable energy supply.
Asad Abbas, Intisar Ali Sajjad, Jonghoon Kim, Dhanamjayulu C.   +3 more
wiley   +1 more source

A Multistrategy Improved Archimedes Optimization Algorithm for Solving Engineering Problems

Journal of Mathematics, Volume 2026, Issue 1, 2026.
Given the shortcomings of the Archimedes optimization algorithm (AOA), the traditional AOA exhibits the following limitations: the initialization phase employs a uniform 0‐1 random number distribution to generate sequences, resulting in limited diversity of initial solutions.
Xiaoping Xu, Yajing Cao, Wenbo Li, Yu Zhang, Feng Wang, Yike Li, Pramita Mishra   +6 more
wiley   +1 more source

Scouting with drones to increase efficiency of locating wild pigs for removal

Wildlife Society Bulletin, Volume 49, Issue 4, December 2025.
Our goal was to determine if locating wild pigs with thermal cameras mounted on unmanned aerial vehicle technology, drones, just prior to ground and aerial shooting efforts could increase removal rates of invasive wild pigs. Results suggest that scouting with drones can increase removal rates under a variety of conditions. Abstract Effective management
Justin W. Fischer, Luke J. Miller, Travis Guerrant, Kurt C. VerCauteren, Kim M. Pepin   +4 more
wiley   +1 more source

Optimizing cloud tasks scheduling based on the hybridization of darts game hypothesis and beluga whale optimization technique

This paper presents the hybridization of two metaheuristic algorithms which belongs to different categories, for optimizing the tasks scheduling in cloud environment. Hybridization of a game-based metaheuristic algorithm namely, darts game optimizer (DGO)
Chhabra, Manish, E., Rajesh
core   +2 more sources