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Smeets, Lucy (author)
Sorting systems form an example of event driven systems. These types of systems are referred to as discrete event systems (DES), and they consist of jobs that need to be performed at available resources. In an autonomous sorting system, jobs consist of robots receiving and delivering parcels at the correct locations. With scheduling, optimal...
master thesis 2022
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Vermeulen, Arjan (author)
For several decades, humanity has worked on cataloguing the population of near-Earth asteroids (NEA's). Knowledge of these small members of the Solar system not only helps in defending Earth from asteroid impacts; study of the population might also provide valuable scientific insights, and open economic possibilities through developments such as...
master thesis 2022
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van Velzen, L. (author)
Climate change without adequate countermeasures has become one of humanity's greatest threat. Energy production by means of renewable energy sources is therefore one of the crucial measures that will play a paramount role in reducing the pollutant emissions of fossil fuel dependency. Small islands in particular are an exemplary case of the...
master thesis 2017
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Halim, R.A. (author)
A powerful combination of simulation and optimization has been successfully applied to solve real-world decision making problems (Fu et al., 2000; Fu, Glover, & April, 2005). Unfortunately, there are scientific and application problems with this method. Firstly, there is no transparent and formal structure to define the integration between...
master thesis 2010
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Dave, D. (author)
As we move towards an aging population, it is likely that an increasing number of people will require an increasing diversity of implants, but at a lower cost to the society. Also, as computer technology progresses, smaller, more powerful, and less battery intensive implants can be designed. However, present implant design methodology is highly...
master thesis 2010
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Malekzadeh, R. (author)
The use of smart well technology to optimize water flooding introduces a large number of control parameters both in space (well segments) and time. The problem of finding the optimal control parameters to maximize net present value as an objective function can be solved with the aid of a gradient-based optimization method. Using too many...
master thesis 2005
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