An optimisation model for setting pressure controllers to minimise leakage in pipe networks

2006 ◽  
pp. 116-125 ◽  
Author(s):  
K. S. Hindi ◽  
Y. M. Hamam
Keyword(s):  
Pipe Networks ◽  
Optimisation Model

Maintenance Optimisation Model at the Equipment Type Level

2020 ◽  
Author(s):  
John Ahmet Erkoyuncu ◽  
Samir Khan ◽  
Andrew Starr ◽  
Keith Rushton
Keyword(s):  
Equipment Type ◽  
Optimisation Model

Augmented intelligent water drops optimisation model for virtual machine placement in cloud environment

IET Networks ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 215-222
Author(s):  
Sivaraman Eswaran ◽  
Daniel Dominic ◽  
Jayapandian Natarajan ◽  
Prasad B. Honnavalli
Keyword(s):  
Virtual Machine ◽  
Virtual Machine Placement ◽  
Cloud Environment ◽  
Water Drops ◽  
Optimisation Model ◽  
Intelligent Water Drops

A multi-objective optimisation model to reduce greenhouse gas emissions and costs in offshore natural gas upstream chains

2021 ◽  
Vol 297 ◽  
pp. 126625
Author(s):  
Ernesto Santibanez-Borda ◽  
Anna Korre ◽  
Zhenggang Nie ◽  
Sevket Durucan
Keyword(s):  
Natural Gas ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Gas Emissions ◽  
Multi Objective ◽  
Optimisation Model

Personalised attraction recommendation for enhancing topic diversity and accuracy

2021 ◽  
pp. 016555152199980
Author(s):  
Yuanyuan Lin ◽  
Chao Huang ◽  
Wei Yao ◽  
Yifei Shao
Keyword(s):  
Real World ◽  
Information Overload ◽  
Two Stage ◽  
Misclassification Cost ◽  
Second Stage ◽  
Low Visibility ◽  
Recommendation Diversity ◽  
Optimisation Model ◽  
Definition Of ◽  
Improved Methods

Attraction recommendation plays an important role in tourism, such as solving information overload problems and recommending proper attractions to users. Currently, most recommendation methods are dedicated to improving the accuracy of recommendations. However, recommendation methods only focusing on accuracy tend to recommend popular items that are often purchased by users, which results in a lack of diversity and low visibility of non-popular items. Hence, many studies have suggested the importance of recommendation diversity and proposed improved methods, but there is room for improvement. First, the definition of diversity for different items requires consideration for domain characteristics. Second, the existing algorithms for improving diversity sacrifice the accuracy of recommendations. Therefore, the article utilises the topic ‘features of attractions’ to define the calculation method of recommendation diversity. We developed a two-stage optimisation model to enhance recommendation diversity while maintaining the accuracy of recommendations. In the first stage, an optimisation model considering topic diversity is proposed to increase recommendation diversity and generate candidate attractions. In the second stage, we propose a minimisation misclassification cost optimisation model to balance recommendation diversity and accuracy. To assess the performance of the proposed method, experiments are conducted with real-world travel data. The results indicate that the proposed two-stage optimisation model can significantly improve the diversity and accuracy of recommendations.

scholarly journals An Optimisation Model for Designing Social Distancing Enhanced Physical Spaces

2020 ◽  
Author(s):  
Hassan Ugail ◽  
Riya Aggarwal ◽  
Andres Iglesias ◽  
Patricia Suarez ◽  
Muazzam Maqsood ◽  
...  
Keyword(s):  
Social Distancing ◽  
Optimisation Model ◽  
Physical Spaces

A simulation and optimisation model for the transport of refinery products

2010 ◽  
Vol 3 (2) ◽  
pp. 160
Author(s):  
Razman Bin Mat Tahar ◽  
Waleed Khalid Abduljabbar
Keyword(s):  
Optimisation Model
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