Formal name: Dr. P.A.N. Bosman
Function: Scientific Staff Member
Email: P.A.N.Bosman@cwi.nl
Telephone +31(0)20 592 4238
Room: M360
Homepage: http://www.cwi.nl/~bosman
Research groups:
(SEN4) Multi-agent and adaptive computation
Research
My research is focused on the design and application of (model-based) Evolutionary Algorithms (EAs) to solve single- and multi-objective optimization problems that are typically complex and contain uncertainties (e.g. simulations). These problems often require taking a black-box optimization (BBO) perspective, i.e. (virtually) nothing is known about the optimization problem at hand.
The EAs I study are often model-based, meaning that a specific model is used to capture and exploit problem-specific features to guide the search for high-quality solutions more effectively and efficiently. Such models may be derived by hand or, if this isn't possible, be learned online, i.e. during optimization, using techniques from fields such as machine learning and data mining. One typical class of such algorithms is the class of Estimation-of-Distribution Algorithms (EDAs), in which probabilistic models are built and sampled and used to guide the search for better solutions so as to get the most out of previously performed evaluations.
I study the design of (model-based) EAs for both single- and multi-objective optimization problems as well as for optimization problems in the presence of uncertainties, i.e. problems with stochastic and/or dynamically (i.e. over time) changing objectives. Applications include network planning and design for (smart) energy systems, deformable registration of medical images, dynamic pricing of goods for revenue management, optimization of patient flows in hospitals and dynamic routing of vehicles for transportation purposes.
Career
| 2010 - | Scientific staff member SEN4 - Multi-agent and Adaptive Computation |
| 2008 - 2010 | Scientific staff member/tenure track SEN4 - Multi-agent and Adaptive Computation |
| 2006 - 2008 | Scientific staff member/postdoc SEN4 - Multi-agent and Adaptive Computation |
| 2004 - 2006 | Scientific staff member/postdoc SEN4 - Multi-agent and Adaptive Computation |
Selected Awards and Honours
| 2010 | Best Paper Genetic and Evolutionary Computation Conference 2010 |
| 2009 | BNAIC 2009 (Benelux Conference on Artificial Intelligence) |
Selected Academic Activities
| 2013 | Organizer Vrije Universiteit Amsterdam - [VU] - Genetic and Evolutionary Computation Conference - [GECCO] |
| 2012 - | Co-organizer Green and Efficient Energy Applications of Genetic and Evolutionary Computation Workshop - [GreenGEC] |
| 2009 | Chair program committee Montréal, QC, Canada - Genetic and Evolutionary Computation Conference - [GECCO] - EDA track |
| 2009 - | Member editorial board Journal: Journal of Applied Metaheuristic Computing - [IJAMC] |
| 2008 - 2010 | Project leader national project; "Basic Research in Informatics for Creating the Knowledge Society" BSIK-BRICKS |
| 2006 | Chair program committee Seattle, WA, USA - Genetic and Evolutionary Computation Conference - [GECCO] - EDA track |
Selected Publications
| P.A.N. Bosman. On Gradients and Hybrid Evolutionary Algorithms for Real-Valued Multi-Objective Optimization. IEEE Transactions on Evolutionary Computation 16, 51–69, 2012. |
| D. Thierens, P.A.N. Bosman. Optimal Mixing Evolutionary Algorithms. Proceedings of ACM Annual Genetic and Evolutionary Computation Conference 2011, Dublin, Ireland, 617–624, 2011. |
| S. Ramezani, P.A.N. Bosman, J.A. La Poutré. Adaptive Strategies for Dynamic Pricing Agents. Proceedings of IEEE/WIC/ACM International Conference on Intelligent Agent Technology 2011 (IAT ), Lyon, France, 2011. |
| P.A.N. Bosman. The anticipated mean shift and cluster registration in mixture-based EDAs for multi-objective optimization. Proceedings of ACM Annual Genetic and Evolutionary Computation Conference 2010, Portland, Oregon, USA, 351–358, 2010. |
| A.K. Hutzschenreuter, P.A.N. Bosman, J.A. La Poutré. Evolutionary multiobjective optimization for dynamic hospital resource management. Proceedings of Evolutionary Multi-Criterion Optimization 2009, Lecture Notes in Computer Science 5467 , 320–334, 2009. |
