Searched for: contributor%3A%22Yorke-Smith%2C+Neil+%28mentor%29%22
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van Peer, Dennis (author)
Entrance tickets for cultural venues are often sold through online retailers. Internally, these retailers have access to demand insights of a large amount of globally distributed venues. Using Tiqets as our industry partner, we were able to access data from one of the largest retailers with global reach. This thesis explores the possibility of...
master thesis 2020
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Scavuzzo Montana, Lara (author)
Mixed Integer Linear Programming (MILP) is a generalization of classical linear programming where we restrict some (or all) variables to take integer values. Numerous real-world problems can be modeled as MILPs, such as production planning, scheduling, network design optimization and many more. MILPs are, in fact, NP-hard. State-of-the-art...
master thesis 2020
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Korte, Johanna (author)
For airlines, crew costs make up the second largest expense, behind fuel costs. Because these costs are very high, there is a large potential gain in improving the crew efficiency within the bounds set by the law and collective labor agreements. This thesis investigates the dated crew pairing problem, and how the crew pairing problem can be...
master thesis 2019
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Sikkes, Louis (author)
This thesis has researched the automation of performance evaluation of vehicle routing heuristics. The trade-off between solution quality, which is composed of multiple variables, and runtime make performance evaluation challenging. Therefore, it is often done by human experts. The research question of this thesis is: “How can we determine a...
master thesis 2019
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Los, Ben (author)
Because of the transfer from brick-and-mortar stores to the web, tourism companies have had an increasing need for good recommendation systems to help the users of their websites find what they want. When developing a recommendation system for tourism, we run into a couple of problems that we would not run into when developing it for e-commerce....
master thesis 2019
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Miglani, Shivam (author)
Automated Planning (AP) is a key component of Artificial General Intelligence and has been successfully employed in applications ranging from scheduling observations of Hubble Space Telescope to generating dialogue agents. A significant bottleneck for its widespread adoption is acquiring accurate domain models which formally encode the planning...
master thesis 2019
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Zhou, Zequn (author)
Urban areas are rapidly expanding in developing countries. One of goals of the United Nations Human Settlement Programme (UN-Habitat) is to understand and guide urban development for some developing regions.<br/>Currently, the approaches that UN-Habitat is using cost plenty of workforce, material, and time. Therefore, UN-Habitat is interested in...
master thesis 2019
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Aammari, Loubna (author)
In this research we look into the integrated LTL routing and loading problem. A review from previous research shows that this integrated problem is novel. All previous literature that researched into an integrated routing and loading problem focused on the loading and vehicle routing problem (3L-CVRP). Different heuristics have been tested on...
master thesis 2019
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Chen, Joe (author)
For the real-world face recognition, factors such as occlusion and pose-variant (cross face) would affect the identification/verification performance. In addition, large number of classes also increase the complexity, which makes verification/identification even harder. In order to deal with these issues, how to extract discriminative embeddings...
master thesis 2019
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Oudshoorn, Menno (author)
The rail network in the Netherlands is one of the busiest in Europe. To ensure a safe and reliable infrastructure, preventive maintenance is of utmost importance. ProRail, the sole maintainer of the railway infrastructure in the Netherlands, spends hundreds of millions of dollars on maintenance each year. Due to the complexity and busyness of...
master thesis 2019
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Turk, Wessel (author), Ooijevaar, Frank (author), Faber, Robin (author), Al Nahadi, Murtadha (author)
This report concludes the project 'Predictive Learning Analytics' for FeedbackFruits. It includes all the work that has been done in a ten week span at FeedbackFruits. FeedbackFruits is a company inspired to help teachers shape learning activities and spark students' active thinking, by creating an online platform on which teachers can create...
bachelor thesis 2019
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Overwater, Arnold (author)
Gentrification, displacement and social exclusion has been a topic of debate in the city of Amsterdam, the Netherlands. We use an agent-based model (ABM) to research these problems and policies to alleviate them. We focus on two phenomena, being short-term holiday rentals of homes and a universal basic income. Short-term holiday rentals is a new...
master thesis 2019
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Sawant, Shambhuraj (author)
Reinforcement learning (RL) is an area of Machine Learning (ML) concerned with learning how a software-defined agent should act in an environment to maximize the rewards. Similar to many ML methods, RL suffers from the curse of dimensionality, the exponential increase in solution space with the increase in problem dimensions. Learning the...
master thesis 2018
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de Vringer, Stefan (author)
This paper investigates possible effects of different information deficiencies on the evolution of cooperation on the basis of the Iterative Prisoner’s Dilemma. To this end, an evolving pool of players repeatedly participates in Round-Robin tournaments. The effect of 5% lost, 5% wrong and 5% delayed information on the amount of games in which...
bachelor thesis 2018
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Jonker, Tim (author)
Increased international marine transport has increased the use of containers. This goes hand in hand with the increased demand for well-functioning container terminals. The speed at which containers can be handled on the container terminal is an important performance indicator for container terminals. In particular, the productivity of the Quay...
master thesis 2018
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van Tilburg, Jasper (author)
In nature, all species have their own behaviors and strategies for survival. Some species survive and reproduce, while others become extinct. This paper proposes a model to simulate these strategies and test their performance. Natural behavior is represented as strategies for the iterated Prisoner's Dilemma (IPD). Agents wielding one of ten...
bachelor thesis 2018
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