scholarly journals Branch and cut methods for network optimization

2001 ◽  
Vol 33 (4-5) ◽  
pp. 517-532 ◽  
Author(s):  
L. Caccetta ◽  
S.P. Hill
Keyword(s):  
Network Optimization ◽  
Branch And Cut

SUBSTANTIATION OF THE DETERMINATION METHOD OF INITIAL PARAMETERS FOR NETWORK OPTIMIZATION OF THE STREETS MECHANIZED CLEANING OF THE SETTLEMENT

2017 ◽  
pp. 179-188 ◽  
Author(s):  
Ihor Korniіenko ◽  
◽  
Svitlana Korniіenko ◽  
Artem Koshma ◽  
Oleksandr Bohukalets ◽  
...  
Keyword(s):  
Network Optimization ◽  
Determination Method ◽  
Mechanized Cleaning

Sanction Effectiveness in Iran: A Network Optimization Approach

2012 ◽  
Author(s):  
Louis Boguchwal
Keyword(s):  
Network Optimization ◽  
Optimization Approach

Inventory Network Optimization with Assembly Line Balancing

2017 ◽  
Author(s):  
Syed Muhammad Maaz ◽  
Bilal Raza ◽  
Faraz Ali ◽  
Zia Abbas
Keyword(s):  
Network Optimization ◽  
Assembly Line ◽  
Assembly Line Balancing ◽  
Line Balancing

Brown Planthopper Sensor Network Optimization Based on Climate and Geographical Factors using Cellular Automata Technique

2021 ◽  
Author(s):  
Hiep Xuan Huynh ◽  
Nga My Lam Phan ◽  
Huong Hoang Luong ◽  
Linh My Thi Ong ◽  
Hai Thanh Nguyen ◽  
...  
Keyword(s):  
Cellular Automata ◽  
Sensor Network ◽  
Network Optimization ◽  
Brown Planthopper ◽  
Geographical Factors

scholarly journals Water quality assessment based on multivariate statistics and water quality index of a strategic river in the Brazilian Atlantic Forest

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
David de Andrade Costa ◽  
José Paulo Soares de Azevedo ◽  
Marco Aurélio dos Santos ◽  
Rafaela dos Santos Facchetti Vinhaes Assump
Keyword(s):  
Water Quality ◽  
Water Resources ◽  
Network Optimization ◽  
Water Quality Index ◽  
Quality Index ◽  
Monitoring Network ◽  
Water Quality Assessment ◽  
Pollution Source ◽  
Components Analysis ◽  
Government Data

AbstractFifty-four water samples were collected between July and December 2019 at nine monitoring stations and fifteen parameters were analysed to provide an updated diagnosis of the Piabanha River water quality. Further, forty years of monitoring were analysed, including government data and previous research projects. A georeferenced database was also built containing water management data. The Water Quality Index from the National Sanitation Foundation (WQINSF) was calculated using two datasets and showed an improvement in overall water quality, despite still presenting systematic violations to Brazilian standards. Principal components analysis (PCA) showed the most contributing parameters to water quality and enabled its association with the main pollution sources identified in the geodatabase. PCA showed that sewage discharge is still the main pollution source. The cluster analysis (CA) made possible to recommend the monitoring network optimization, thereby enabling the expansion of the monitoring to other rivers. Finally, the diagnosis provided by this research establishes the first step towards the Framing of water resources according to their intended uses, as established by the Brazilian National Water Resources Policy.

A Fast Power Network Optimization Algorithm for Improving Dynamic IR-drop

2021 ◽  
Author(s):  
Jai-Ming Lin ◽  
Yang-Tai Kung ◽  
Zheng-Yu Huang ◽  
I-Ru Chen
Keyword(s):  
Optimization Algorithm ◽  
Network Optimization ◽  
Power Network ◽  
Ir Drop ◽  
Fast Power
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