Results 61 to 70 of about 369 (162)

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

Optimization of Hybrid Machine Learning Approach for Unemployment Rate Forecasting

Applied Computational Intelligence and Soft Computing, Volume 2025, Issue 1, 2025.
This research proposes a robust approach for forecasting female unemployment rates across various regions in Egypt using optimized support vector machines (SVMs). Key factors such as education level, age, and location are analyzed to enhance prediction accuracy. The process involves three phases: training, predicting, and optimizing.
Wafaa A. Shrief, Ayat Taha, Rasha Elstohy, Nevein Nagy, Eman M. Ali, Zhaocai Wang   +5 more
wiley   +1 more source

Reducing One‐Year Energy Loss for the Hoang Dieu 26‐Node Distribution Power Network in Vietnam Through Optimal Placement of Solar‐Powered Distributed Generators

International Transactions on Electrical Energy Systems, Volume 2025, Issue 1, 2025.
This research investigates the application of the parrot optimizer (PO) algorithm and the artemisinin optimization (AO) algorithm to determine the optimal placement of solar‐powered distributed generators (SP‐DGs) within the standard IEEE 33‐node, 69‐node, and the Vietnamese Hoang Dieu 26‐node distribution power networks (DPNs).
Xuan Hoa Thi Pham, Thang Trung Nguyen, Arnab Biswas   +2 more
wiley   +1 more source

Evolving Dispatching Rules in Improved BWO Heuristic Algorithm for Job-Shop Scheduling

In this paper, an improved Beluga Whale Optimization algorithm based on data mining and scheduling rules with AdaBoost(IBWO-DDR-AdaBoost) rule heuristic scheduling method for solving job-shop scheduling problems (JSP) is proposed, in which data mining ...
Zhen Zhang, Xin Jin, Yue Wang
core   +1 more source

Utility‐scale solar photovoltaic power plant emulating a virtual synchronous generator with simultaneous frequency and voltage control provision

IET Energy Systems Integration, Volume 6, Issue 4, Page 386-405, December 2024.
Abstract Network operators with significant solar photovoltaic (PV) penetration are having difficulty maintaining grid frequency and voltage within acceptable bounds due to the progressive displacement of synchronous machines. Utility‐scale solar PV plants have a huge potential for participation in frequency and voltage regulation since they are linked
Raja Owais, Sheikh Javed Iqbal
wiley   +1 more source

Smart transportation solutions for faster emergency medical services response using an enhanced whale optimization algorithm

IET Intelligent Transport Systems, Volume 18, Issue 12, Page 2775-2792, December 2024.
The proposed work focuses on providing fast EMS assistance to the public by strategically allocating ambulances to minimize their average response time. The work is executed in the MATLAB environment and uses the proposed algorithm of modified WOA (mWOA) in the simulation optimization framework.
Hina Gupta, Mohammad Amir, Zaheeruddin, Furkan Ahmad, Ishaq G. Muhammad Alblushi, Haris M. Khalid   +5 more
wiley   +1 more source

A rhinopithecus swarm optimization algorithm for complex optimization problem

Scientific Reports
This paper introduces a novel meta-heuristic algorithm named Rhinopithecus Swarm Optimization (RSO) to address optimization problems, particularly those involving high dimensions.
Guoyuan Zhou, Dong Wang, Guoao Zhou, Jiaxuan Du, Jia Guo   +4 more
doaj   +1 more source

Integrating renewable energy and V2G uncertainty into optimal power flow: A gradient bald eagle search optimization algorithm with local escaping operator

IET Renewable Power Generation, Volume 18, Issue 16, Page 4119-4152, 7 December 2024.
This paper proposes a new approach for solving the optimal power flow (OPF) problem in transmission networks using a Gradient Bald Eagle Search Algorithm (GBES) with a Local Escaping Operator (LEO). The method considers uncertainty from renewable energy sources and Vehicle‐to‐Grid (V2G) in the stochastic OPF problem.
Mohamed H. Hassan, Salah Kamel, José Luis Domínguez‐García, Reagan Jean Jacques Molu   +3 more
wiley   +1 more source

Emaciated enigma: Decline in body conditions of common dolphins in the Celtic Seas ecoregion

Ecology and Evolution, Volume 14, Issue 10, October 2024.
The nutritional health of stranded common dolphins in the Celtic Seas ecoregion has recently declined, as evidenced by a decrease in nutritional status and an increase in starvation‐related deaths. Ventral blubber thickness was identified as the most reliable predictor of nutritional status when comparing various morphometric indices using ordinal ...
Sofia Albrecht, Cóilín Minto, Emer Rogan, Rob Deaville, Jim O'Donovan, Mags Daly, Stephanie Levesque, Simon Berrow, Andrew Brownlow, Nicholas J. Davison, Orla Slattery, Luca Mirimin, Sinéad Murphy   +12 more
wiley   +1 more source

Optimal Configuration of Distributed Generation Based on an Improved Beluga Whale Optimization

IEEE Access
Large-scale distributed generation (DG) access to the distribution network brings many uncertainties to the distribution network, considering the impact of different types of distributed power supply on the optimization results as well as the uncertainty
Jifang Li, Xingyao Zhou, Yifan Zhou, Aishan Han   +3 more
doaj   +1 more source