Publication
Monotonicity in the trip scheduling problem
Related publications (33)
Generative AI-Enabled Conversational Interaction to Support Self-Directed Learning Experiences in Transversal Computational Thinking
Denis Gillet, Juan Carlos Farah, Adrian Christian Holzer, Abdessalam Ouaazki
As computational thinking (CT) becomes increasingly acknowledged as an important skill in education, self-directed learning (SDL) emerges as a key strategy for developing this capability. The advent of generative AI (GenAI) conversational agents has disrup ...
2024Modeling and mitigating supply chain disruptions as a bilevel network flow problem
Anna Timonina-Farkas, René Yves Glogg
Years of globalization, outsourcing and cost cutting have increased supply chain vulnerability calling for more effective risk mitigation strategies. In our research, we analyze supply chain disruptions in a production setting. Using a bilevel optimization ...
SPRINGER HEIDELBERG2022Optimal Matching of Random Parts
This paper examines the minimization of the cost for an expected random production output, given an assembly of finished goods from two random inputs, matched in two categories. We describe the optimal input portfolio, first using the standard normal appro ...
2022Scheduling trips through a bottleneck: monotonicity and stability
Nikolaos Geroliminis, Raphael Ali Francis Lamotte
This paper investigates the stability of departure time choice within a population of commuters that need to pass through a bottleneck of constant capacity. It is shown that the corresponding utility function is monotonic if and only if the marginal utilit ...
2019Payoff-Based Approach to Learning Nash Equilibria in Convex Games * *This research is partially supported by M. Kamgarpour’s European Union ERC Starting Grant, CONENE.
We consider multi-agent decision making, where each agent optimizes its cost function subject to constraints. Agents’ actions belong to a compact convex Euclidean space and the agents’ cost functions are coupled. We propose a distributed payoff-based algor ...
2017Parameter Learning in General Equilibrium: The Asset Pricing Implications
Parameter learning strongly amplifies the impact of macroeconomic shocks on marginal utility when the representative agent has a preference for early resolution of uncertainty. This occurs as rational belief updating generates subjective long-run consumpti ...
American Economic Association2016A Robust Resolution of Newcomb's Paradox
Newcomb's problem is viewed as a dynamic game with an agent and a superior being as players. Depending on whether or not a risk-neutral agent's confidence in the superior being, as measured by a subjective probability assigned to the move order, exceeds a ...
2016The Impact of Sharing Markets on Product Durability
Thomas Alois Weber, Maryam Razeghian Jahromi
This paper studies the effects of sharing markets on the prices for new products and on product design in terms of durability. In a dynamic economy with overlapping generations, consumers take strategic purchasing decisions, anticipated by a durable-goods ...
2016Attitudes to Distance, Time and Cost in Logit Transport Choice Models
Matthieu Marie Cochon de Lapparent
During the last 20 years, a distance variable has sometimes been added to specifications of Logit utility functions that already included travel time and cost variables long assumed in theory and practice to embody the impeding effect of distance on transp ...
2015Framework for the Multi-period Sequential Synthesis of Heat Exchanger Networks with selection, design and scheduling of Multiple Utilities
François Maréchal, Alberto Mian, Emanuele Martelli
A novel sequential approach is proposed for the multiperiod synthesis of Heat Exchanger Networks (HEN) and Utility Systems of chemical processes and energy systems. The framework can be used also for single period problems. Given the set of hot and cold pr ...
American Chemical Society2015