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Interactive Evolutionary Multiobjective Optimization

Informationen zur Arbeit

Abschlussarbeitstyp: Master
Betreuer: Jacqueline Höllig
Forschungsgruppe: Web Science
Partner: FZI
Archivierungsnummer: 4698
Abschlussarbeitsstatus: Offen
Beginn: 01. Dezember 2020
Abgabe: unbekannt

Weitere Informationen


Investigating and Developing approaches to generate realistic and human-interpretable image counterfactuals by using Multiobjective Optimization.


  • In-depth literature review about Interactive Multiobjective Optimization and Evolutionary Multi-Objective Optimization
  • Development of an interactive evolutionary Multobjective approach for image counterfactuals
  • Experimental comparison of state-of-the-art image counterfactuals with the newly developed approach

Wir bieten

  • Continuous and thorough mentoring of the student
  • A highly motivated and fun team
  • Constructive teamwork

Wir erwarten

  • Basic knowledge in python programming and/or machine learning
  • Ability to plan and work independently
  • Very good knowledge of German or English
  • High level of motivation and enthusiasm


We are looking forward to your application to Jacqueline Höllig (hoellig∂fzi de). Please provide us with the following information:

  • Transcript of Records
  • CV