Publications associées à Budget constraint

Sustainability and Ethicality are Peripheral to Students’ Software Design

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The conceptual design phase is a fascinating moment to observe how a design task is interpreted, as the (often implicit) relative importance students accord to the various requirements and constraints offers a window into the thinking underpinning their de ...

Tempus Publications2023

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Many transportation markets are characterized by oligopolistic competition. In these markets customers, suppliers and regulators make decisions that are influenced by the preferences and the decisions of all other agents. In particular, capturing and under ...

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Price-based regulation of oligopolistic markets under discrete choice models of demand

Michel Bierlaire, Virginie Janine Camille Lurkin, Stefano Bortolomiol

We propose a framework to find optimal price-based policies to regulate markets characterized by oligopolistic competition and in which consumers make a discrete choice among a finite set of alternatives. The framework accommodates general discrete choice ...

2022

Obstacles and opportunities for reducing dwelling size to shrink the environmental footprint of housing: Tenants' residential preferences and housing choice

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The environmental footprint of housing is greatly influenced by the size of a dwelling. Housing size is the result of households' dwelling selections; accordingly, it is critical to consider residential preferences and choices to inform efforts towards hou ...

SPRINGER2022

Definition Of A Transparent Constraint-Based Modeling And Simulation Layer For The Management Of Complex Systems

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Modeling and Simulation (M&S) is one of the most multifaceted topics present today in both industry and academia. However, we are involved in a new M&S paradigm. Systems are becoming more complex and new simulation needs arise and have to be studied. As a ...

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K-Adaptability in Two-Stage Robust Binary Programming

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Over the last two decades, robust optimization has emerged as a computationally attractive approach to formulate and solve single-stage decision problems affected by uncertainty. More recently, robust optimization has been successfully applied to multi-sta ...

Informs2015

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We develop a model of investment, financing, and cash management decisions in which investment is lumpy and firms face uncertainty regarding their ability to raise funds in the capital markets. We characterize optimal policies explicitly and show that the ...

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Selective Input Adaptation in Parametric Optimal Control Problems with Path Constraints

Dominique Bonvin, Benoît Chachuat, Saurabh Anand Deshpande

This paper is concerned with input adaptation in dynamic processes in order to guarantee feasible and optimal operation despite the presence of uncertainty. For optimal control problems having mixed control-state constraints, two sets of directions can be ...

2010

Parametric Sensitivity of Path-Constrained Optimal Control: Towards Selective Input Adaptation

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In the context of dynamic optimization, plant variations necessitate adaptation of the input profiles in order to guarantee both feasible and optimal operation. For those problems having path constraints, two sets of directions can be distinguished in the ...

2009

Scale-up of batch processes via decentralized control

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The economic environment in the specialty chemicals industry requires short times to market and thus the ability to develop new products and processes very rapidly. This, in turn, calls for large scale-ups from laboratory to production. Due to scale-relate ...

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Agile preference models based on soft constraints

Boi Faltings, Pearl Pu Faltings, Jiyong Zhang

An accurate model of the user's preferences is a crucial element of most decision support systems. It is often assumed that users have a well-defined and stable set of preferences that can be elicited through a set of questions. However, recent research ha ...

American Association for Artificial Intelligence, Menlo Park, CA 94025-3496, United States2005