Master thesis optimization

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In this project, we want to investigate if deep learning methods can contribute in combinatorial optimization problems in particular if it can find any pattern among good solutions for a pickup and delivery problem and if so, then take advantage of it to lead the search toward even better solutions. INF is highly recommended. Develop a Machine Learning based Hyper-heuristic algorithm to solve a pickup and delivery problem. A hyper-heuristic is a heuristics that choose heuristics automatically. Hyper-heuristic seeks to automate the process of selecting, combining, generating or adapting several simpler heuristics to efficiently solve computational search problems [Handbook of Metaheuristics]. There might be multiple heuristics for solving a problem.
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Doctor of Philosophy (PhD) in Combinatorics and Optimization

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Exploring Improvements for Gradient Descent Optimization Algorithms in Deep Learning

This is the brief version of my actual master thesis proposal, which is attached in PDF format. My bachelor thesis was about making Drupal web sites load faster. To be able to prove the positive impact of optimizing the loading of the components of a web site — thereby proving that the work I was going to have done had a positive impact — I researched existing page loading profiling tools.
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Combine your scientific interest and technical skills in the field of electrical engineering to create new knowledge for the socially and scientifically relevant areas of information, energy and bioeconomy. We offer you all of this at the Central Institute of Engineering, Electronics and Analytics — Electronic Systems ZEA -2 with modelling, designing and developing the most innovative system solutions for science and society. Project Description: Electromagnetic induction EMI is a non-invasive and fast geophysical measurement technique that offers the potential to obtain geological and hydrological soil properties of the uppermost meters of the subsurface by measuring the apparent electrical conductivity.
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