Publications associées à Pareto Optimal Allocations for Probabilistic Sophisticated Variational Preferences

Contextual Stochastic Bilevel Optimization

Daniel Kuhn, Yifan Hu, Andreas Krause, Jie Wang

We introduce contextual stochastic bilevel optimization (CSBO) -- a stochastic bilevel optimization framework with the lower-level problem minimizing an expectation conditioned on some contextual information and the upper-level decision variable. This fram ...

2023

Decision support for the design of integrated biorefineries

Julia Granacher

A shift from fossil-based energy and products to more sustainable alternatives is essential to reduce greenhouse gas emissions and associated climate change impacts. Biomass represents a promising alternative for providing fuels and carbon-based products w ...

EPFL2023

Safety risk management in University laboratories

Anastasia Jung

Risk management has become an essential element in the functioning of modern society. Correct risk identification and assessment are undoubtedly crucial to improving overall safety; nevertheless, often, it is accompanied by the wrong selection of correctiv ...

EPFL2023

Smart cities and sustainable development goals (SDGs): A systematic literature review of co-benefits and trade-offs

Simon Elias Bibri

Despite the wealth of research on smart cities, there is a lack of studies examining interlinkages between smart cities and Sustainable Development Goals (SDGs). In other words, there is limited research on how implementing smart city solutions can lead to ...

Elsevier Sci Ltd2023

Demand-based operations of vehicle sharing systems

Selin Ataç

Vehicle sharing systems (VSSs) allow users to rent vehicles for a short period of time, in a more flexible and convenient manner compared to the traditional vehicle rental services. The long-term VSS subscription replaces the need for contract signing for ...

EPFL2023

Active learning for multi-objective optimization of processes and energy systems

François Maréchal, Julia Granacher

In superstructure optimization of processes and energy systems, the design space is defined as the combination of unit considerations, process conditions and model parameters that might be subjected to uncertainty. Most of the time, decision makers are not ...

Elsevier Science2022

Overcoming decision paralysis—A digital twin for decision making in energy system design

François Maréchal, Tuong-Van Nguyen, Julia Granacher

The design of efficient energy systems, through the development of new technologies and the improvement of current ones, requires the use of rigorous process synthesis methods for generating and analysing design alternatives. We introduce a digital twin of ...

2022

Safety Decision-Making for Laboratory Processes in Academia

Thierry Meyer, Anastasia Jung

There is a need for a tool that facilitates safety decision-making in the academic environment. As this environment is very different from that of industry or other public sectors, there is no information available on the factors that influence the decisio ...

2022

Relatively Robust Decisions

Thomas Alois Weber

It is natural for humans to judge the outcome of a decision under uncertainty as a percentage of an ex-post optimal performance. We propose a robust decision-making framework based on a relative performance index. It is shown that if the decision maker’s p ...

2023

Cost-Based Decision Support System: A Dynamic Cost Estimation of Key Performance Indicators in Manufacturing

Dimitrios Kyritsis, Foivos Psarommatis Giannakopoulos

An attempt is made to translate five generic key performance indicators (KPIs) into a continuous real-time cost function in a batch order-based manufacturing environment. The challenge of controlling and optimizing resource utilization, production efficien ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

A conceptual construct on value for infrastructure asset management

Matthias Finger

Understanding the meaning of value to asset-intensive organizations and their stakeholders has been a long -standing goal of researchers and managers of the asset management community. These issues have become particularly prominent with the publication of ...

ELSEVIER SCI LTD2022

A 3D indicator for guiding AI applications in the energy sector

Christophe Ballif, Christian Rod, Nicolas Würsch, Laure-Emmanuelle Perret Aebi, Alessandro Francesco Aldo Virtuani, Hugo James André Quest, Marine Dominique Cauz, Fabian Heymann

The utilisation of Artificial Intelligence (AI) applications in the energy sector is gaining momentum, with increasingly intensive search for suitable, high-quality and trustworthy solutions that displayed promising results in research. The growing interes ...

2022

Decision Framework to Balance Environmental, Technical, Logistical, and Economic Criteria When Designing Structures With Reused Components

Numa Joy Bertola, Célia Marine Küpfer, Corentin Jean Dominique Fivet, Jan Friedrich Georg Brütting

The reuse of structural components in new buildings has great potential to reduce the environmental impacts of the construction sector but remains uncommon practice. An obstacle to its wider implementation is the lack of robust assessment methods and decis ...

2021

Impacts of Metering-Based Dynamic Priority Schemes

Nikolaos Geroliminis, Raphael Ali Francis Lamotte

Several works published over the last two decades have shown for a stylized set-up with homogeneous users that metering-based priority (MBP) schemes may generate Pareto improving departure time adjustments similar to those induced by congestion pricing, bu ...

INFORMS2022

Decision Learning and Adaptation Over Multi-Task Networks

Ali H. Sayed

This paper studies the operation of multi-agent networks engaged in multi-task decision problems under the paradigm of simultaneous learning and adaptation. Two scenarios are considered:one in which a decision must be taken among multiple states of nature ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Evaluating the predictive abilities of mixed logit models with unobserved inter- and intra-individual heterogeneity

Michel Bierlaire, Prateek Bansal

Mixed logit models with unobserved inter-and intra-individual heterogeneity hierarchically extend standard mixed logit models by allowing tastes to vary randomly both across individuals and across choice situations encountered by the same individual. Recen ...

ELSEVIER SCI LTD2021

Informational frictions in financial markets

Erik Hapnes

This thesis consists of three chapters on informational frictions in financial markets. The chapters analyze problems related to markets' ability to guide real investment, and what drives liquidity. Both problems are important to ensure efficient resource ...

EPFL2021

Modeling infectious disease dynamics towards informed public health interventions, with applications on COVID-19 and cholera

Joseph Chadi Benoit Lemaitre

Emerging and existing infectious diseases pose a constant threat to individuals and communities across the world. In many cases, the burden of these diseases is preventable through public health interventions. However, taking the right decisions and design ...

EPFL2021

Learning continuous-time working memory tasks with on-policy neural reinforcement learning

Davide Zambrano

An animals' ability to learn how to make decisions based on sensory evidence is often well described by Reinforcement Learning (RL) frameworks. These frameworks, however, typically apply to event-based representations and lack the explicit and fine-grained ...

2021

The Gaussian lossy Gray-Wyner network

Michael Christoph Gastpar, Erixhen Sula

We consider the problem of source coding subject to a fidelity criterion for the Gray-Wyner network that connects a single source with two receivers via a common channel and two private channels. The pareto-optimal trade-offs between the sum-rate of the pr ...

2020