Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Artificial Intelligence Expert
- Machine Learning: from Traditional Methods to Deep Neural Networks
- Autonomous Agent Systems
- Mobility and Transport
- Smart and Service Industry
- Data Mining, Process Mining and Search
- Energy, Sustainability, Environment and Circularity
- Economical / Environmental Impact of AI
- Societal Context of AI
- Deep Learning
- Reinforcement Learning
- Traditional Machine Learning
Transport Expert
- Freight Transport
- Maritime Logistics
- Traffic (road)
- Infrastructure (road, rail, other)
- Simulation
- Stochastic Modelling
- Statistical Modelling
- Data Mining and Machine Learning
- Artificial Intelligence
- Autonomous Vehicles
- Optimization Technologies
- Economic / Business
- Intelligent Transport Systems
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Dive into the research topics where Fabian Akkerman is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Dynamic Neighborhood Construction for Structured Large Discrete Action Spaces
Akkerman, F., Luy, J., van Heeswijk, W. & Schiffer, M., 2024.Research output: Contribution to conference › Paper › peer-review
Open AccessFile127 Downloads (Pure) -
Dynamic reordering and inspection for the multi-item Inventory Record Inaccuracy problem
Akkerman, F., Prak, D. & Mes, M., 1 Mar 2025, In: European journal of operational research. 321, 2, p. 428-444 17 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile60 Downloads (Pure) -
Handling Large Discrete Action Spaces via Dynamic Neighborhood Construction
Akkerman, F., Luy, J., Heeswijk, W. V. & Schiffer, M., 31 May 2023, ArXiv.org.Research output: Working paper › Preprint › Academic
Open AccessFile122 Downloads (Pure) -
A Comparison of Reinforcement Learning Policies for Dynamic Vehicle Routing Problems with Stochastic Customer Requests
Akkerman, F., Mes, M. & van Jaarsveld, W., Sept 2022, (In preparation).Research output: Working paper › Professional
File193 Downloads (Pure) -
Cross-Docking: Current Research Versus Industry Practice and Industry 4.0 Adoption
Akkerman, F., Lalla-Ruiz, E., Mes, M. & Spitters, T., 18 Jul 2022, Smart Industry - Better Management. Bondarouk, T. & Olivas-Luján, M. R. (eds.). Emerald, p. 69-104 36 p. (Advanced Series in Management; vol. 28).Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review
Open AccessFile11 Citations (Scopus)827 Downloads (Pure)