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Develo** an integrated land allocation model based on linear programming and game theory
Land use configuration in any given landscape is the result of a multi-objective optimization process, which takes into account different ecological,...
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Production optimization through linear programming in agricultural properties
This study presents a methodology for planning and defining strategies for decision making in order to guarantee greater profitability in the...
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Linear programming the Ramsar convention’s criterion IV (case study: Shadegan Wetland, West Asia)
Wetland ecosystems provide critical ecological services to both humans and wildlife. However, many wetlands around the world are facing challenges...
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Integrated supply chain plan under multiple distribution networks: an implementation of mixed integer linear programming
The study aims to minimize the cost of operations, storage, penalties, and dispatch in one of the largest paper and board manufacturing industries in...
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How global warming data are modeled via some novel mathematical programming scenarios in distributed lag model?
The method of Almon reduces multicollinearity in some degree in distributed lag model, however multicollinearity may not be recovered since Almon...
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Mathematical-Based Gene Expression Programming (GEP): A Novel Model to Predict Zinc Separation from a Bench-Scale Bioleaching Process
Attempts to predict metal recovery accurately have been hindered by the complexity of the solvent extraction process, nonlinear effects, and the...
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A Nonlinear Programming Model for Long-Term Planning of Municipal Solid Waste Management Systems: The Desire for Global Optima
Long-term planning of municipal solid waste management systems (LPMSWMS) is a multi-layered problem that seeks answers to different decisions (i.e.,...
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A multi-objective mixed integer linear programming model proposed to optimize a supply chain network for microalgae-based biofuels and co-products: a case study in Iran
Recently, with efficient methods of cultivating microalgae at hand, researchers and investors have paid considerable attention to the production of...
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Sustainable project selection and scheduling using scenario-based stochastic programming: a case study of industrial projects
Due to a wide variety of real-world constraints, proper project portfolio selection is a critical issue for project-oriented organizations. In this...
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Wave energy site location optimizing in Chile: a fuzzy serial linear programming decision-making approach
Renewable energy is not only a solution to environmental problems but also a guarantee for national energy security. Previous studies on the energy...
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A novel multi-objective robust fuzzy stochastic programming model for sustainable agri-food supply chain: case study from an emerging economy
On the one hand, supply chain management of agri-food products under uncertain conditions has a significant impact on food security and, on the other...
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Surface water quality index forecasting using multivariate complementing approach reinforced with locally weighted linear regression model
River water quality management and monitoring are essential responsibilities for communities near rivers. Government decision-makers should monitor...
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Wind Turbine Minimum Power Loss Optimization Using Non-linear Mathematical Programming
The role of wind turbine is an inevitable in a renewable microgrid system (RMS). The development of small scale RMS is an ultimate solution for...
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Interval two-stage stochastic programming model under uncertainty for planning emission rights trading in the Yellow River basin of China
As a critical way to realize the optimal allocation of water environment capacity resources in the basin, emission rights trading faces multiple...
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A mixed-integer linear programming model with multi-unit strategy for distributed biorefinery superstructures with economic and social benefits
Biofuels have emerged as a promising alternative for depleting fossil fuels. Efficient biofuel production requires the optimal supply chain design...
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Multi-objective programming for multi-period multi-product closed-loop supply chain network design: a fuzzy robust optimization approach
Closed-loop supply chain network design (CLSCND) is one of the important strategic decisions for the sustainability of many business organizations. A...
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Inexact Joint-Probabilistic Stochastic Programming Model (ITIC-JPC) Synergy MCDA Analysis on Water Allocation in Jimei District of **amen City
Jimei District of **amen is facing the situation of water shortage, in order to better understand the water resources in Jimei District and allocate...
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Develo** a Bi-level programming model for water allocation based on Nerlove’s supply response theory and water market
The issue of water resource management in the Sistan region has been complicated by water fluctuations of the Hirmand River in recent years. The...
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Programming for the Near Future: Concepts and Pragmatic Considerations
AbstractThis article deals with the concept, architecture, and scientific-organizational problems of creating a new generation of integrated software...
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A hybrid machine learning-mathematical programming optimization approach for municipal solid waste management during the pandemic
This paper provides a mathematical optimization strategy for optimal municipal solid waste management in the context of the COVID-19 epidemic. This...
