University of Münster
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Dr. Jakob Bossek

No current affiliations available for this person. The person is no longer active at the university.

Curriculum Vitae (CV)

  • Evolutionary Algorithms
  • Theory of randomized search heuristics
  • (Evolutionary) Multi-Objective Optimization
  • Evolutionary diversity optimization (EDO)
  • Combinatorial Optimization
  • Evolving problem instance for NP-hard problems
  • Black-Box Optimization
  • Algorithm Selection

Academic Education

10/2014 - 11/2018Doctoral Studies in Information Systems (PhD), School of Business and Economics, University of Münster
2005 - 2014Studies in Computer Science (Diploma), Faculty of Computer Science, TU Dortmund University
2009 - 2013Studies in Statistics (Bsc.), Faculty of Statistics, TU Dortmund University

Work Experience

since 04/2022Assistant Professor (Akademischer Rat) at the Chair for AI Methodology (AIM) at RWTH Aachen University
11/2018 - 03/2022PostDoc at the Chair for Data Science: Statistics und Optimization, Department for Information Systems, WWU Münster, Münster, Germany
10/2019 - 09/2020PostDoc Researcher at the Optimisation and Logistics Group, School of Computer Science, The University of Adelaide, Adelaide, Australia
02/2015 - 11/2018Research Associate at the Chair of Information Systems and Statistics, Department of Information Systems, WWU-Münster, Münster, Germany

Functions and Memberships

since 2021Foundations of Genetic Algorithms (FOGA), program committee member
since 2020Genetic and Evolutionary Computation Conference (GECCO), program committee member
since 2019ACM full member, ACM Sigevo
since 2019IEEE Congress on Evolutionary Computation (CEC), program committee member
since 2017ACM-SIGEVO, Special Interest Group for Genetic and Evolutionary Computation, Association for Computing Machinery

Publications

Exact Counting and Sampling of Optima for the Knapsack Problem
Bossek Jakob, Neumann Aneta, Neumann Frank (2021)
In: (eds.), Proceedings of the 15th Learning and Intelligent Optimization (LION) conference. Springer.
Type of Publication: Research article in edited proceedings (conference)
Time Complexity Analysis of Randomized Search Heuristics for the Dynamic Graph Coloring Problem
Bossek Jakob, Peng Pan, Neumann Frank, Sudholt Dirk (2021)
In: Algorithmica, 2021
Type of Publication: Research article (journal)
Generating Instances with Performance Differences for More Than Just Two Algorithms
Bossek Jakob, Wagner Markus (2021)
In: (eds.), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '21) Companion. (no publisher available).
Type of Publication: Research article in edited proceedings (conference)
Entropy-Based Evolutionary Diversity Optimisation for the Traveling Salesperson Problem
Nikfarjam Adel, Bossek Jakob, Neumann Aneta, Neumann Frank (2021)
In: (eds.), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '21). ACM Press.
Type of Publication: Research article in edited proceedings (conference)
Diversifying Greedy Sampling and Evolutionary Diversity Optimisation for Constrained Monotone Submodular Functions
Neumann Aneta, Bossek Jakob, Neumann Frank (2021)
In: (eds.), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '21). ACM Press.
Type of Publication: Research article in edited proceedings (conference)
Show all publications

Projects

Benchmarking Network
Duration: since 01/12/2019
Type of project: Own resources project
9th International Conference on Evolutionary Multi- Criterion Optimization, Münster 19. - 22.03.2017 (EMO 2017)
Duration: 19/03/2017 - 22/03/2017
Funded by: Participation / conference fees , DFG - International Scientific Events
Type of project: Scientific Event
Instance-Based Algorithm Selection of Inexact TSP solvers
Duration: 01/01/2017 - 31/12/2018
Funded by: German Academic Exchange Service
Type of project: Individual project
COSEAL - Configuration and Selection of Algorithms (COSEAL)
Duration: 01/02/2013 - 01/01/2030
Type of project: Own resources project

Prizes

Nominated for: Nominiert für den Förderpreis der Angewandten Informatik 2018
Announced by: Förderkreis der Angewandten Informatik an der Westfälischen Wilhelms-Universität Münster e.V.
Nominees: Bossek, Jakob
Announced at: 01/01/2018
Type of distinction: Nomination for an award or distinction

Doctorates

Investigating Problem Hardness in (Multi-Objective) Combinatorial Optimization: Algorithm Selection, Instance Generation and Tailored Algorithm Design
Candidate: Bossek, Jakob | Supervisors: Trautmann, Heike; Neumann, Frank | Reviewers: Trautmann, Heike; Neumann, Frank
Period of time: 01/02/2015 - 15/11/2018
Doctoral examination procedure finished at: Doctoral examination procedure at University of Münster