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A novel dual-decomposition method for non-convex two-stage stochastic mixed-integer quadratically constrained quadratic problems
We propose the novel p-branch-and-bound method for solving two-stage stochastic programming problems whose deterministic equivalents …
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A novel dual-decomposition method for non-convex two-stage stochastic mixed-integer quadratically constrained quadratic problems
Data-driven robust optimization for pipeline scheduling under flow rate uncertainty
Frequently, parameters in optimization models are subject to a high level of uncertainty coming from several sources and, as such, …
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Data-driven robust optimization for pipeline scheduling under flow rate uncertainty
Long-lasting Insecticidal Net Campaigns for Malaria Control Considering Prioritization and Equity
Malaria remains a significant public health concern in several developing countries. Tropical weather, coupled with poor environmental …
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Long-lasting Insecticidal Net Campaigns for Malaria Control Considering Prioritization and Equity
A novel exact formulation for parallel machine scheduling problems
Machine scheduling is one of the most studied problems due to its technical challenges and prevalence in real life. In the literature, …
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A novel exact formulation for parallel machine scheduling problems
Renewable energy expansion under taxes and subsidies: A transmission operator’s perspective
In light of increasing pressure to curb greenhouse gas emissions, many countries have focused on the development of strategies that …
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Renewable energy expansion under taxes and subsidies: A transmission operator’s perspective
Optimal cyclic scheduling of ethylene plants in backup furnace mode with separation capacity constraints
Ethylene plants (EPs) are a critical output source of ethylene. The cyclic scheduling optimization is crucial to increase the …
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Optimal cyclic scheduling of ethylene plants in backup furnace mode with separation capacity constraints
A study of progressive hedging for stochastic integer programming
Motivated by recent literature demonstrating the surprising effectiveness of the heuristic application of progressive hedging (PH) to …
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A study of progressive hedging for stochastic integer programming
Predicer: abstract stochastic optimisation model framework for multi-market operation
An open-source modelling framework Predicer, standing for Predictive Decider, for multi-market day-ahead market operation purposes is …
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Predicer: abstract stochastic optimisation model framework for multi-market operation
Supporting platelet inventory management decisions: What is the effect of extending platelets’ shelf life?
Managing blood product inventories can be challenging due to stochastic supply and demand, varying shelf lives of the products, and the …
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Supporting platelet inventory management decisions: What is the effect of extending platelets’ shelf life?
Achieving Emission-Reduction Goals: Multi-Period Power-System Expansion under Short-Term Operational Uncertainty
Stochastic adaptive robust optimization is capable of handling short-term uncertainties in demand and variable renewable-energy sources …
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Achieving Emission-Reduction Goals: Multi-Period Power-System Expansion under Short-Term Operational Uncertainty