Searched for: author%3A%22De+Weerdt%2C+M.M.%22
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Karlsson, R.K.A. (author), Bliek, L. (author), Verwer, S.E. (author), de Weerdt, M.M. (author)
One method to solve expensive black-box optimization problems is to use a surrogate model that approximates the objective based on previous observed evaluations. The surrogate, which is cheaper to evaluate, is optimized instead to find an approximate solution to the original problem. In the case of discrete problems, recent research has...
conference paper 2021
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Agterberg, Pallas (author), Bijl, Maarten (author), Hurink, J. L. (author), la Poutré, J.A. (author), van de Vreede, Gerdien (author), de Weerdt, M.M. (author), Wilbrink, Tijs (author)
report 2021
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Bliek, L. (author), Guijt, A. (author), Verwer, S.E. (author), de Weerdt, M.M. (author)
A challenging problem in both engineering and computer science is that of minimising a function for which we have no mathematical formulation available, that is expensive to evaluate, and that contains continuous and integer variables, for example in automatic algorithm configuration. Surrogate-based algorithms are very suitable for this type...
conference paper 2021
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Stawska, A.M. (author), Lane, N.R. (author), de Weerdt, M.M. (author), Verzijlbergh, R.A. (author)
The growing capacity of intermittent energy sources causes more frequent system imbalances as well as congestion. Demand flexibility is a valuable resource that can be used to resolve these. Unfortunately, flexibility can also contribute to congestion, particularly when used to balance the grid. Using flexibility to solve grid problems...
journal article 2021
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Lane, N.R. (author), van der Linden, J.G.M. (author), Morales-Espania, German (author), de Weerdt, M.M. (author)
The power system is undergoing a significant change as it adapts to the intermittency and uncertainty from renewable generation. Flexibility from loads such as electric vehicles (EVs) can serve as reserves to sustain the supply-demand balance in the grid. Some reserve markets have rules for participation that are computationally challenging...
journal article 2021
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van der Linden, J.G.M. (author), Mulderij, J. (author), Huisman, B. (author), Den Ouden, Joris W. (author), Van Den Akker, Marjan (author), Hoogeveen, Han (author), de Weerdt, M.M. (author)
When trains are finished with their transportation tasks during the day, they are moved to a shunting yard where they are routed, parked, cleaned, subject to regular maintenance checks and repaired during the night. The resulting Train Unit Shunting and Servicing problem motivates advanced research in planning and scheduling in general since...
conference paper 2021
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de Weerdt, M.M. (author), Baart, Robert (author), He, L. (author)
Single-machine scheduling where jobs have a penalty for being late or for being rejected altogether is an important (sub)problem in manufacturing, logistics, and satellite scheduling. It is known to be NP-hard in the strong sense, and there is no polynomial-time algorithm that can guarantee a constant-factor approximation (unless P=NP). We...
journal article 2021
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van der Linden, J.G.M. (author), Lane, N.R. (author), de Weerdt, M.M. (author)
Due to increasing numbers of intermittent and distributed generators in power systems, there is an increasing need for demand responses to maintain the balance between electricity generation and use at all times. For example, the electrification of transportation significantly adds to the amount of flexible electricity demand. Several methods...
journal article 2021
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Zomer, Jordi (author), Bešinović, Nikola (author), de Weerdt, M.M. (author), Goverde, R.M.P. (author)
Due to increasing railway use, the capacity at railway yards and maintenance locations is becoming limiting to accommodate existing rolling stock. To reduce capacity issues at maintenance locations during nighttime, railway undertakings consider performing more daytime maintenance, but the choice at which locations personnel needs to be...
journal article 2021
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Yildiz, B. (author), Hung, H.S. (author), Krijthe, J.H. (author), Liem, C.C.S. (author), Loog, M. (author), Migut, M.A. (author), Oliehoek, F.A. (author), Panichella, A. (author), Pawełczak, Przemysław (author), Picek, S. (author), de Weerdt, M.M. (author), van Gemert, J.C. (author)
We present ReproducedPapers.org : an open online repository for teaching and structuring machine learning reproducibility. We evaluate doing a reproduction project among students and the added value of an online reproduction repository among AI researchers. We use anonymous self-assessment surveys and obtained 144 responses. Results suggest...
conference paper 2021
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Piao, L. (author), De Vries, Laurens (author), de Weerdt, M.M. (author), Yorke-Smith, N. (author)
DC distribution systems are a promising alternative to existing AC distribution systems. They connect customers to local energy sources without conversion, thus reducing power losses. However, the unique features of DC impose strict requirements for system operation compared to AC. Within the context of a liberalized energy market, this...
journal article 2021
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de Nijs, F. (author), Walraven, E.M.P. (author), de Weerdt, M.M. (author), Spaan, M.T.J. (author)
In domains such as electric vehicle charging, smart distribution grids and autonomous warehouses, multiple agents share the same resources. When planning the use of these resources, agents need to deal with the uncertainty in these domains. Although several models and algorithms for such constrained multiagent planning problems under...
journal article 2021
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Abdelghany, H.A.M.F. (author), Tindemans, S.H. (author), de Weerdt, M.M. (author), la Poutré, J.A. (author)
Increased uptake of variable renewable generation and further electrification of energy demand necessitate efficient coordination of flexible demand resources to make most efficient use of power system assets. Flexible electrical loads are typically small, numerous, heterogeneous and owned by self-interested agents. Considering the multi...
journal article 2020
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Neustroev, G. (author), de Weerdt, M.M. (author)
Reinforcement learning (RL), like any on-line learning method, inevitably faces the exploration-exploitation dilemma. When a learning algorithm requires as few data samples as possible, it is called sample efficient. The design of sample-efficient algorithms is an important area of research. Interestingly, all currently known provably efficient...
conference paper 2020
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Bliek, L. (author), Verwer, S.E. (author), de Weerdt, M.M. (author)
When a black-box optimization objective can only be evaluated with costly or noisy measurements, most standard optimization algorithms are unsuited to find the optimal solution. Specialized algorithms that deal with exactly this situation make use of surrogate models. These models are usually continuous and smooth, which is beneficial for...
journal article 2020
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Neustroev, G. (author), Ponnambalam, C.T. (author), de Weerdt, M.M. (author), Spaan, M.T.J. (author)
Reinforcement learning requires exploration, leading to repeated execution of sub-optimal actions. Naive exploration techniques address this problem by changing gradually from exploration to exploitation. This approach employs a wide search resulting in exhaustive exploration and low sample-efficiency. More advanced search methods explore...
conference paper 2020
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Scharpff, J.C.D. (author), Schraven, D.F.J. (author), Volker, Leentje (author), Spaan, M.T.J. (author), de Weerdt, M.M. (author)
The next step in the use of innovative, dynamic and performance-based contracts for service delivery by contractors could be use of monetary incentives to stimulate self-regulation of the network. Because it is currently unclear how performance-based payments in network tenders can effectively encourage network members to coordinate their own...
journal article 2020
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Jordán, Jaume (author), Torreño, Alejandro (author), de Weerdt, M.M. (author), Onaindia, Eva (author)
This paper presents FENOCOP, a game-theoretic approach for solving non-cooperative planning problems that involve a set of self-interested agents. Each agent wants to execute its own plan in a shared environment but the plans may be rendered infeasible by the appearance of potential conflicts; agents are willing to coordinate their plans in...
journal article 2020
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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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de Weerdt, M.M. (author)
Pseudocode is a clear, compact, unambiguous description of an algorithm or<br/>computer program aimed to communicate this to people.
report 2019
Searched for: author%3A%22De+Weerdt%2C+M.M.%22
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