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Li, Y. (author), Yorke-Smith, N. (author), Keviczky, T. (author)
Towards integrating renewable electricity generation sources into the grid, an important facilitator is the energy flexibility provided by buildings' thermal inertia. Most of the existing research follows a single-step price- or incentive-based scheme for unlocking the flexibility potential of buildings. In contrast, this paper proposes a...
conference paper 2023
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van Bokkem, Dirk (author), van den Hemel, Max (author), Dumančić, S. (author), Yorke-Smith, N. (author)
Increasing global food demand, accompanied by the limited number of expert growers, brings the need for more sustainable and efficient horticulture. The controlled environment of greenhouses enable data collection and precise control. For optimally controlling the greenhouse climate, a grower not only looks at crop production, but rather aims...
conference paper 2023
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Efthymiou, N. (author), Yorke-Smith, N. (author)
Since combinatorial scheduling problems are usually NP-hard, this paper investigates whether machine learning (ML) can accelerate exact solving of a problem instance. We adopt supervised learning on a corpus of problem instances, to acquire a function that predicts the optimal makespan for a given instance. The learned predictor is invariant to...
conference paper 2023
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Xu, Y. (author), Krishnakumari, P.K. (author), Yorke-Smith, N. (author), Hoogendoorn, S.P. (author)
COVID-19 significantly influenced travel behaviours and public attitudes towards public transport. Various studies have illustrated complicated factors related to long-term travel behaviour, indicating difficulty in understanding and predicting post-pandemic long-term travel behaviour via traditional methods. In these complex circumstances,...
conference paper 2023
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Pingen, Geert L.J. (author), van Ommeren, Christian R. (author), van Leeuwen, Cornelis J. (author), Fransen, Ruben W. (author), Elfrink, Tijmen (author), de Vries, Yorick C. (author), Karunakaran, Janarthanan (author), Demirović, E. (author), Yorke-Smith, N. (author)
Logistics planning is a complex optimization problem involving multiple decision makers. Automated scheduling systems offer support to human planners; however state-of-the-art approaches often employ a centralized control paradigm. While these approaches have shown great value, their application is hindered in dynamic settings with no central...
conference paper 2022
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Andringa, S.P.E. (author), Yorke-Smith, N. (author)
Simulation–optimization is often used in enterprise decision-making processes, both operational and tactical. This paper shows how an intuitive mapping from descriptive problem to optimization model can be realized with Constraint Programming (CP). It shows how a CP model can be constructed given a simulation model and a set of business goals...
conference paper 2022
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Þorbjarnarson, T. (author), Yorke-Smith, N. (author)
Recent work has shown potential in using Mixed Integer Programming (MIP) solvers to optimize certain aspects of neural networks (NN). How- ever little research has gone into training NNs with solvers. State of the art methods to train NNs are typically gradient-based and require sig- nificant data, computation on GPUs and extensive hyper...
conference paper 2021
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Toman, M. (author), Yorke-Smith, N. (author)
Under what conditions can cooperation emerge and be sustained? Previous studies abstract cooperation and defection using the spatial Prisoner’s Dilemma (PD) game. We study a local reputation mechanism in which agents can remember defectors, abstain from interacting with them, and warn nearby agents. Simulations find that local reputation is...
conference paper 2021
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Doolaard, F.P. (author), Yorke-Smith, N. (author)
Solvers for constraint optimisation problems exploit variable and value ordering heuristics. Numerous expert-designed heuristics exist, while recent research uses machine learning to learn novel heuristics. We introduce the concept of deep heuristics, a data-driven approach to learn extended versions of a given variable ordering heuristic. We...
conference paper 2021
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Yorke-Smith, N. (author)
The full article published in Environment and Planning B studies the effect of a range of possible municipal policy measures on the peer-to-peer short-term rental market. The case study is the city of Amsterdam. A spatial agent-based simulation indicates that more lower income citizens remain in the city centre when regulation of the market is...
conference paper 2021
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Telang, Pankaj R. (author), Singh, Munindar P. (author), Yorke-Smith, N. (author)
We introduce and formalize a concept of a maintenance commitment, a kind of social commitment characterized by states whose truthhood an agent commits to maintain. This concept of maintenance commitments enables us to capture a richer variety of real-world scenarios than possible using achievement commitments with a temporal condition. By...
conference paper 2021
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van Driel, Ronald (author), Demirović, E. (author), Yorke-Smith, N. (author)
Contemporary research explores the possibilities of integrating machine learning (ML) approaches with traditional combinatorial optimisation solvers. Since optimisation hybrid solvers, which combine propositional satisfiability (SAT) and constraint programming (CP), dominate recent benchmarks, it is surprising that the literature has paid...
conference paper 2021
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Gevers, Louis (author), Yorke-Smith, N. (author)
Interactions in the real world are subject to mistakes and miscommunications. The presence of this noise challenges cooperation, as one party cannot determine whether the other party did not cooperate on purpose. Prisoner’s dilemma strategies like Tit-for-Tat (TFT) perform badly once noise is present. Recent studies that harsh environments...
conference paper 2020
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Saur, R. (author), la Poutré, J.A. (author), Yorke-Smith, N. (author)
Increasing electricity production from renewable energy sources has, by its fluctuating nature, created the need for more flexible demand side management. How to integrate flexible demand in the electricity system is an open research question. We consider the case of procuring the energy needs of a time-shiftable load through a set of...
conference paper 2020
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van Driel, Ronald (author), Yorke-Smith, N. (author)
Contemporary research explores the possibilities of integrating machine learning (ML) approaches with traditional combinatorial optimisation solvers. Since optimisation hybrid solvers, which combine propositional satisfiability (SAT) and constraint programming (CP), dominate recent benchmarks, it is surprising that the literature has paid...
conference paper 2020
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Miglani, Shivam (author), Yorke-Smith, N. (author)
Existing automated domain acquisition approaches require large amounts of structured data in the form of plans or plan traces to converge. Further, automatically-generated domain models can be incomplete, error-prone, and hard to understand or modify. To mitigate these issues, we take advantage of readily-available natural language data:...
conference paper 2020
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Saur, R. (author), Yorke-Smith, N. (author), la Poutré, J.A. (author)
In order to reduce CO2 emissions, energy systems using different energy carriers (e.g., heat and power) are becoming more intertwined and integrated. However, coordination between non-cooperative participants of these systems in the combined heat and power domain has been limited to single-sided auctions with one centralised seller. In this...
conference paper 2019
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He, L. (author), de Weerdt, M.M. (author), Yorke-Smith, N. (author)
An important class of scheduling problems is characterised by time-dependency and/or sequence-dependency with time windows. We introduce and analyze four algorithmic ideas for this class: a novel hybridization of adaptive large neighbourhood search (ALNS) and tabu search (TS), randomized generic neighbourhood operators, a partial sequence...
conference paper 2019
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Ziengs, A.H. (author), Yorke-Smith, N. (author)
conference paper 2019
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Piao, L. (author), De Vries, Laurens (author), de Weerdt, M.M. (author), Yorke-Smith, N. (author)
Direct Current Distribution System (DCDS), a promising alternative to existing AC systems, connect customers to DC energy sources without AC/DC conversion. The unique features of DC, including the power-voltage coupling effect, impose different requirements to DCDS operation compared to AC. Addressing a liberalized energy market, this paper...
conference paper 2019
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