5 citations · 5 across the 5 of their papers we have counts for
5 papers
Simulation Strategies for an Efficient Local Search to solve Stochastic Scheduling Problems
Philip de Bruin, Bram Elderhorst, Marjan van den Akker +1
In scheduling problems, deterministic task durations are often assumed. This usually does not capture reality and may lead to schedules that are not robust to (small) changes to th…
Solution of a bilevel optimistic scheduling problem on parallel machines
Quentin Schau, Olivier Ploton, Vincent T'kindt +3
We consider the uniform parallel machines scheduling problem in the context of optimistic bilevel optimization, where two speed options are considered. In this scenario, the leader…
Robust Parallel Machine Scheduling: A Comparison of Robustness Measures and Local Search Approaches
Casper Loman, Loriana Pascual, Marjan van den Akker +3
In many real-world scheduling problems, the processing times of tasks are subject to uncertainty. This makes it essential to design schedules that are robust against disruptions. W…
A hybrid optimization framework for the General Continuous Energy-Constrained Scheduling Problem
Roel Brouwer, Marjan van den Akker, Han Hoogeveen
We present a hybrid optimization framework for a class of problems, formalized as a generalization of the Continuous Energy-Con\-strained Scheduling Problem (CECSP), introduced by…
A hybrid local search algorithm for the Continuous Energy-Constrained Scheduling Problem
Roel Brouwer, Marjan van den Akker, Han Hoogeveen
We consider the Continuous Energy-Constrained Scheduling Problem (CECSP). A set of jobs has to be processed on a continuous, shared resource. A schedule for a job consists of a sta…