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Now showing items 11-16 of 16
Automatic variable reduction
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
A variable reduction strategy (VRS) is an effective method to accelerate the optimization process of evolutionary algorithms (EAs) by simplifying the corresponding optimization problems. Unfortunately, the VRS is manually ...
An Enhanced Multi-Phase Stochastic Differential Evolution Framework for Numerical Optimization
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
Real-life problems can be expressed as optimization problems. These problems pose a challenge for researchers to design efficient algorithms that are capable of finding optimal solutions with the least budget. Stochastic ...
Dosage Optimization of Polypropylene Fiber for Strength Enhancement of Cementitious Composites
(
Qatar Univesrity Press
, 2020 , Conference Paper)
"Concrete is the most commonly used materials for construction in Qatar as well as in
the world. Exposure to sever environmental conditions causes physical deterioration
of concrete structures and significantly affect ...
Optimization of Sink Locations in Carbon Integration Networks
(
Elsevier B.V.
, 2022 , Book chapter)
The detrimental environmental impacts of climate change that are a result of high atmospheric CO2 concentrations have prompted global efforts to limit the continuous increase in greenhouse gas (GHG) emissions. Many are now ...
Optimizing network pathways of CO2 conversion processes
(
Elsevier Ltd
, 2021 , Article)
Carbon capture and utilization (CCU) has gained great attraction as an alternative route of producing carbon-based chemicals, which also mitigates atmospheric CO2. This paper develops a numerical optimization model that ...
Computational applications using data driven modeling in process Systems: A review
(
Elsevier Ltd
, 2023 , Other)
Modeling and optimization of various processes enable more efficient operations and better planning activities for new process developments. With recent advances in computing power, data driven models, such as Machine ...