University of Twente Student Theses
Enhancing Portfolio Management Efficiency through Automated Scheduling: Harnessing Genetic Algorithms
Bos, Niels (2024) Enhancing Portfolio Management Efficiency through Automated Scheduling: Harnessing Genetic Algorithms.
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| Abstract: | Project Portfolio Management (PPM) is crucial for companies with many running projects. It strategically determines project initiation timing and optimally allocates resources, ensuring efficient project execution, maximizing organizational resources, and ultimately achieving strategic objectives. This thesis investigates the optimization of PPM efficiency through Genetic Algorithms (GAs) for the automated scheduling of projects within a portfolio, as crafting comprehensive capacity plans remains labour-intensive. This thesis describes a mapping from the Resource Constrained Project Scheduling Problem (RCPSP) to portfolio scheduling. It extends the RCPSP to accommodate diverse objectives, timedependent resource capacities, and specific start/end time constraints to form the novel Multi-Objective RCPSP with time-varying resource capacities and demands and set start/time constraints (MORCPSP/t-SE). To find optimal schedules that meet MORCPSP/t-SE constraints, the Nondominated Sorting Genetic Algorithm II (NSGA2) is proposed for its ability to optimize multiple objectives and offer a range of solutions. Moreover, the approach uses Swarm Particle and Bayesian optimization for hyperparameter optimization. The algorithm is validated against benchmark problems and the results are compared and analysed. Ultimately, this thesis seeks to contribute to an automated way of generating multiple portfolio scenarios simultaneously that provide insight into the effects of possible scheduling decisions |
| Item Type: | Essay (Master) |
| Clients: | Fortes, Enschede, Netherlands |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Computer Science MSc (60300) |
| Link to this item: | https://purl.utwente.nl/essays/102757 |
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