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Simulator-based surrogate optimisation employing adaptive uncertainty-aware sampling
Optimisation problems involving computationally expensive, black-box functions derived from high-fidelity engineering simulations …
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Simulator-based surrogate optimisation employing adaptive uncertainty-aware sampling
Solving decision problems with endogenous uncertainty and conditional information revelation using influence diagrams
Mathematical programming formulations of influence diagrams can bridge the gap between representing and solving decision problems. …
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Solving decision problems with endogenous uncertainty and conditional information revelation using influence diagrams
A novel strong duality-based reformulation for trilevel infrastructure models in energy systems development
Buildings account for 40 % of global energy consumption. A considerable portion of building energy consumption stems from heating, …
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Risk-averse decision strategies for influence diagrams using rooted junction trees
This paper presents how a mixed-integer programming (MIP) formulation for influence diagrams that is based on their gradual rooted …
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Risk-averse decision strategies for influence diagrams using rooted junction trees
Risk-averse decision strategies for influence diagrams using rooted junction trees
This paper presents how a mixed-integer programming (MIP) formulation for influence diagrams that is based on their gradual rooted …
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Risk-averse decision strategies for influence diagrams using rooted junction trees
Renewable energy expansion under taxes and subsidies: A transmission operator’s perspective
We propose the novel p-branch-and-bound method for solving two-stage stochastic programming problems whose deterministic equivalents …
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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 strong duality-based reformulation for trilevel infrastructure models in energy systems development
We explore the class of trilevel equilibrium problems with a focus on energy-environmental applications and present a novel …
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A novel strong duality-based reformulation for trilevel infrastructure models in energy systems development
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