Seminar Program 2017

If not otherwise indicated, all seminars take place in Ag C421.1
  • 11.1. Kari Saarinen (ABB Corporate Research) Scandinavian automation solutions
  • 18.1. Yaochu Jin Brain-like computing: an evolutionary development perspective
  • 25.1. Vesa Ojalehto VR systems
  • 8.2. Karthik Sindhya Visualization for multiobjective optimization
  • 10.2. Christer Carlsson (Åbo Akademi University) Big Data Analytics and Knowledge Mobilisation
  • 15.2. Discussion on visual abstracts
  • 8.3. Tinkle Chugh A surrogate-assisted multiobjective shape optimization of an air intake ventilation system
  • 15.3. Jussi Hakanen On using decision maker preferences with ParEGO, talk at EMO2017
  • 22.3. Antti Oulasvirta (Aalto University) Optimizing human-computer interaction
  • 29.3. Yue Zhou-Kangas Solving multiobjective optimization problems with parameter uncertainty: an interactive approach
  • 3.5. Markus hartikainen Topics in optimization: problem modeling
  • 8.5.Keiichi Ito (Noesis Solution) Human inspired optimization
  • 17.5. Hannakaisa Isomäki From ethical decision making in humans and machines to inherent ethics in wisdoms of inference by humans and computers
  • 24.5. Tinkle Chugh Presentation for CEC 2017 conference A surrogate-assisted evolutionary multiobjective shape optimization of an air intake ventilation system
  • 31.5. Status of group web pages
  • 14.6. Presentations at the MCDM2017 conference
  • 20.6. Michael Emmerich (Leiden University) At the Crossroads between Computational Geometry and Multiobjective Optimization
  • 9.8. Richard Allmendinger (Manchester Business School) Data-driven optimization: Industrial case studies.
  • 30.8. Cristóbal Barba González (University of Malaga) Big Data Optimization
  • 6.9. Santtu Tikka (University of Jyväskylä, Department of Mathematics and Statistics) Fusion: A Comprehensive Software Package for Causal Inference
  • 13.9. Kaisa Miettinen Georg Cantor Award Talk from MCDM2017 (extended)
  • 20.9. Yue Zhou-Kangas On computation of lightly robust Pareto optimal solutions
  • 27.9. Francisco Ruiz (University of Málaga, Spain.) A Meta-Goal Programming Approach to Cardinal Preference Aggregation
  • 11.10. Tomáš Krátký Pump hydraulic design as an optimization problem AND Air ventilation intake AND Jet system for abrasive metal-cutting AND Nuclear forward scattering evaluation as an optimization problem AND Car suction design
  • 25.10. Lu Chen Automated decision makers
  • 1.11. Cristóbal Barba Big data optimization
  • 1.11. Babooshka Shavazipour Multi-Objective Optimization under deep uncertainty
  • 2.11. Xavier Gandibleux vOPtSolver, the missing solver of the MCDM community
  • 3.11. Dmitry Podkopaev Multiobjective approach to portfolio investment
  • 28.11. Ahsanul Habib A Multiple Surrogate Assisted Decomposition Based Hybrid Evolutionary Algorithm for Many Objective Optimization
  • 1.12. Manuel López-Ibáñez Automatic Offline Design of Algorithms
  • 12.12. Manuel López-Ibáñez Analysing Stochastic Multi-criteria Data by means of the Empirical Attainment Function
  • 13.12. Karthik Sindhya Evolutionary multiobjective optimization: A journey
  • 15.12. Tinkle Chugh Experiences and Lessons

Upcoming