Results 11 to 20 of about 250,324 (265)
Machine Learning: Science and Technology, 2023 The Vlasov–Poisson equation is one of the most fundamental models in plasma physics. It has been widely used in areas such as confined plasmas in thermonuclear research and space plasmas in planetary magnetospheres.
Baiyi Zhang +5 more
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Reaktor, 2021 Pinch analysis for a sugar plant production capacity 4000 TCD has been carried out to reduce its energy consumptions. The plant has ten evaporators that can be configured to several multiple effect evaporators.
Indra Riadi +2 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 With the development of ship detection in optical remote sensing images, it is convenient to obtain accurate detection results and ship images. Owing to the superior performance of convolutional neural networks (CNNs), one way to acquire the category of ...
Jiawei Shi, Zhiguo Jiang, Haopeng Zhang
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IEEE Access, 2021 Granular computing is usually considered as a representative method for solving complex problems, which can be solved quickly through freely switching among different granular models.
Jinhui Li, Yunfeng Dong
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An Introduction to Multiobjective Simulation Optimization [PDF]
ACM Transactions on Modeling and Computer Simulation, 2019 The multiobjective simulation optimization (MOSO) problem is a nonlinear multiobjective optimization problem in which multiple simultaneous and conflicting objective functions can only be observed with stochastic error. We provide an introduction to MOSO at the advanced tutorial level, aimed at researchers and practitioners who wish to begin working in
Susan R. Hunter +6 more
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Journal of Hydroinformatics, 2023 Contaminants in groundwater may enter through various sources which are required to be identified for informed decision-making regarding remediation. In early stages of contamination of an aquifer, the sources of contamination are generally unknown.
Aatish Anshuman, T. I. Eldho
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A Fuzzy Simheuristic for the Permutation Flow Shop Problem under Stochastic and Fuzzy Uncertainty
Mathematics, 2022 Stochastic, as well as fuzzy uncertainty, can be found in most real-world systems. Considering both types of uncertainties simultaneously makes optimization problems incredibly challenging.
Juliana Castaneda +4 more
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Techno-Economic Analysis of a Stand-Alone Hybrid System: Application in Donoussa Island, Greece
Energies, 2021 Hybrid Renewable Energy Systems (HRES) are an attractive solution for the supply of electricity in remote areas like islands and communities where grid extension is difficult.
Michail Katsivelakis +4 more
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A tutorial on simulation optimization [PDF]
Proceedings of the 24th conference on Winter simulation - WSC '92, 1992 This tutorial discusses the issues and procedures for using simulation as a tool for optimization of stochastic complex systems that are modeled by computer simulation. It is intended to be a tutorial rather than an exhaustive literature search. Its emphasis is mostly on issues that are specific to simulation optimization instead of concentrating on ...
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Energies, 2021 Simulation-optimization methods are often used to derive operation rules for large-scale hydropower reservoir systems. The solution of the simulation-optimization models is complex and time-consuming, for many interconnected variables need to be ...
Xinyu Wu +3 more
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