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Large-scale parallelization of the Borg multiobjective evolutionary algorithm to enhance the management of complex environmental systems [PDF]

Environmental Modelling & Software, 2015
The Borg MOEA is a self-adaptive multiobjective evolutionary algorithm capable of solving complex, many-objective environmental systems problems efficiently and reliably. Water and environmental resources problems pose significant computational challenges due to their potential for large Pareto optimal sets, the presence of disjoint Pareto-optimal ...
David Hadka, Patrick M. Reed
openaire   +3 more sources

Joint Scheduling and Coordinating Operation of a Mega Hydropower System Based on Gaussian Radial Basis Functions and the Borg Algorithm in the Upper Yangtze River, China

Energies
A large number of reservoirs (or hydropower plants) have been constructed for flood control and energy production in the past several decades in the Yangtze River basin in China.
Shenglian Guo, Chenglong Li, Bokai Sun, Xiaoya Wang, Peng Li, Le Guo   +5 more
doaj   +2 more sources

Visualisation of the combinatorial effects within evolutionary algorithms: the compass plot

Journal of Hydroinformatics, 2021
Applications of evolutionary algorithms (EAs) to real-world problems are usually hindered due to parameterisation issues and computational efficiency.
Qi Wang, Miaoting Guan, Wen Huang, Libing Wang, Zhihong Wang, Shuming Liu, Dragan Savić   +6 more
doaj   +1 more source

Ergonomic Task Analysis for Prioritization of Work-Related Musculoskeletal Disorders among Mango-Harvesting Farmers

Safety, 2022
This paper proposes a mixed ergonomic tool analysis algorithm to prioritize work-related musculoskeletal problems. This study is a cross-sectional study assessing the prevalence of work-related musculoskeletal disorders (WMSDs) with associated risk ...
Phonnipha Boriboonsuksri, Sasitorn Taptagaporn, Teeraphun Kaewdok   +2 more
doaj   +1 more source

Fatigue-Induced Neuromuscular Performance Changes in Professional Male Volleyball Players

Sports, 2023
The purpose of the present study was to assess pre-post practice changes in countermovement vertical jump (CVJ) force-time metrics and to determine the relationship between internal and external load variables within a cohort of professional male ...
Damjana V. Cabarkapa, Dimitrije Cabarkapa, Shay M. Whiting, Andrew C. Fry   +3 more
doaj   +1 more source

Optimization and Quality Assessment of Baryon Pasting for Intracluster Gas using the Borg Cube Simulation

The Open Journal of Astrophysics, 2023
Synthetic datasets generated from large-volume gravity-only simulations are an important tool in the calibration of cosmological analyses. Their creation often requires accurate inference of baryonic observables from the dark matter field. We explore the
Florian Kéruzoré, Lindsey E. Bleem, Michael Buehlmann, J.D. Emberson, Nicholas Frontiere, Salman Habib, Katrin Heitmann, Patricia Larsen   +7 more
doaj   +1 more source

Efficacy and safety of ultra-low dose inhaled melphalan in the treatment of hospitalized patients with COVID-19

Acta Biomedica Scientifica, 2022
Background. One of the most important components of COVID-19 therapy is the suppression of the hyperergic immune response. There is an urgent need of creating the optimal tactics of efficient and safe anti-inflammatory therapy.
E. A. Sinitsyn, A. A. Zykova, R. V. Shamin, A. V. Rvacheva, A. O. Bogatyreva, T. V. Shapovalenko, G. G. Maryin, K. A. Zykov   +7 more
doaj   +1 more source

Results of long-term riociguat therapy, including a switching strategy from sildenafil, in patients with pulmonary hypertension of various genesis

Евразийский Кардиологический Журнал, 2023
Aim: to study the influence of riociguat on the functional and hemodynamic status, remodeling of the right heart, as well as the safety of therapy in both previously untreated patients with idiopathic pulmonary arterial hypertension (IPAH) and inoperable
S. A. Musashaykhova, Z. S. Valieva, T. V. Martynyuk   +2 more
doaj   +1 more source

Quantitative evaluation of disease severity in connective tissue disease-associated interstitial lung disease by dual-energy computed tomography

Respiratory Research, 2022
Background High-resolution computed tomography (HRCT) is recommended diagnosing and monitoring connective tissue disease-associated interstitial lung disease (CTD-ILD).
Ling Chen, Min Zhu, Haiyan Lu, Ting Yang, Wanjiang Li, Yali Zhang, Qibing Xie, Zhenlin Li, Huajing Wan, Fengming Luo   +9 more
doaj   +1 more source

Using of pH as a tool to predict salinity of groundwater for irrigation purpose using artificial neural network

Egyptian Journal of Aquatic Research, 2014
Monitoring of groundwater quality is one of the important tools to provide adequate information about water management. In the present study, artificial neural network (ANN) with a feed-forward back-propagation was designed to predict groundwater ...
Mahmoud Nasr, Hoda Farouk Zahran
doaj   +1 more source