About the course
Some form of uncertainty is almost always present when important decisions are made. This is also the case for logistics planners, whether planning is performed at a strategic, tactical, or operational level. Decision support in the form of optimization tools can help planners make better choices, but many optimization problems are hard to solve and require specialized search methods to identify good solutions.
This course focuses on heuristic algorithms, in particular metaheuristics, and their application to optimization problems where uncertainty is taken into consideration. Examples from several applications in routing and scheduling are used to illustrate state-of-the-art techniques.
You could find more about the course content here: https://www.himolde.no/english/studies/courses/log/2021/autumn/drl027.html
The course is free of charge for all PhD students.
Recommended requirements
The course is suitable for PhD candidates with some knowledge about stochastic optimization, who may learn how this domain can be approached using heuristics; PhD candidates with some knowledge about heuristics, who may learn how they need to be adapted to efficiently deal with stochastic problems; and PhD candidates with knowledge about vehicle routing and scheduling problems, who may learn how stochastic versions of such problems can be handled by heuristics.
Evaluation: Writing an academic paper/report on a topic related to the curriculum
Grades: The grades will be Pass/Fail.
Module leader: Professor Lars Magnus Hvattum: lars.m.hvattum@himolde.no
Contact person: Øystein Nerland: oystein.nerland@himolde.no
Molde University College, Specialized University in Logistics
P.O. Box 2110, 6402 Molde, Norway