5 papers · 1 filter
A Fast Heuristic for Stochastic Steiner Tree Problems
Berend Markhorst, Alessandro Zocca, Joost Berkhout +1
Network design under uncertainty arises in countless real-world settings and can be captured by the Stochastic Steiner Tree Problem (SSTP). Although there are a few approaches spec…
PyJobShop: Solving scheduling problems with constraint programming in Python
Leon Lan, Joost Berkhout
This paper presents PyJobShop, an open-source Python library for solving scheduling problems with constraint programming. PyJobShop provides an easy-to-use modeling interface that…
A Two-Step Warm Start Method Used for Solving Large-Scale Stochastic Mixed-Integer Problems
Berend Markhorst, Markus Leitner, Joost Berkhout +2
Two-stage stochastic programs become computationally challenging when the number of scenarios representing parameter uncertainties grows. Motivated by this, we propose the TULIP-al…
A new Simheuristics procedure for stochastic combinatorial optimization
Joost Berkhout
Ignoring uncertainty in combinatorial optimization leads to suboptimal decisions in practice. Nevertheless, the focus is often on deterministic combinatorial optimization problems,…
Future-proof ship pipe routing: navigating the energy transition
Berend Markhorst, Joost Berkhout, Alessandro Zocca +2
The maritime industry must prepare for the energy transition from fossil fuels to sustainable alternatives. Making ships future-proof is necessary given their long lifetime, but it…