Emil Gustavsson
Showing 29 publications
Effects on district heating networks by introducing demand side economic model predictive control
SKA Science Data Challenge 2: analysis and results
Multi-objective constrained Bayesian optimization for structural design
S-RASTER: contraction clustering for evolving data streams
Reinforcement Learning Informed by Optimal Control
Architecture-Aware Bayesian Optimization for Neural Network Tuning
Analysis of Engineering Change Requests Using Markov Chains
Reinforcement learning in real-time geometry assurance
Design Analytics is the Answer, But What Questions Would Product Developers Like to Have Answered?
Purely Functional Federated Learning in Erlang
Functional Federated Learning in Erlang
Learning to Play Guess Who? and Inventing a Grounded Language as a Consequence.
Towards Big-Data Analysis of Deviation and Error Reports in Product Development Projects
An Introduction to Continuous Optimization, 3rd edition
Primal convergence from dual subgradient methods for convex optimization
Scheduling tamping operations on railway tracks using mixed integer linear programming
Preventive maintenance scheduling of multi-component systems with interval costs
Introduction to Continuous Optimization
Contributions to dual subgradient optimization and maintenance scheduling
Primal convergence from dual subgradient methods for convex optimization
Preventive maintenance scheduling of multi-component systems with deterioration costs
The preventive maintenance scheduling problem with interval costs
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Showing 2 research projects
Nonsmooth convex optimization—theory and solution methodology