Seminar Program 2018

If not otherwise indicated, all seminars take place in Ag C421.1
Presented
  • 19.12 at 2:15 pm: Yury Nikulin (University of Turku) Modelling efficient routing in a dynamic network
  • 18.12 in Ag C132:
  • 12.12 at 10.15. Javad Koushki Detecting lightly robust solutions in multiobjective optimization
  • 14.12. at 10.15. Alberto Lovison Perspectives for deterministic methods in multiobjective optimization
  • 5.11. at 10.15. Bhupinder Singh Saini Python version of RVEA and a talk on "Surrogate Agents"
  • 29.11. at 10.30. Tomas Kratky computatioally Multiobjective optimization problems in designing pumps
  • 28.11. at 10.15. DEMO Seminar with forest researchers Mikko Mönkkönen Safe operating boundaries for boreal forests
  • 28.11 at 13. DEMO status seminar
  • 21.11. at 10.15. Adhe Kania Multiobjective Optimization in Supply Chain Management, Case Study A Manufacturing Company
  • 14.11. at 10.15. Babooshka Shavazipour Dealing with incomplete preference information in scenario-based Multi-Objective Optimization Problems: Mathematical relations & Risto Heikkinen Using Bayesian data analysis on deciding exercise program for knee
  • 13.11 at 13.15. Dmitry Podkopaev Some approaches to visualization of multidimensional and big data
  • 6.11. Atanu Mazumdar On offline data-driven evolutionary multiobjective optimization
  • 31.10. DEMO Seminar with forest researchers
  • 24.10. Francisco Ruiz (University of Malaga) On building synthetic indicators using reference point techniques: approaches, reflections and applications
  • 17.10. DEMO Seminar: discuss challenges of multiobjective robustness in forest management problems
  • 16.10. Margaret Wiecek (Clemson University, USA) On Highly Robust Efficient Solutions to Uncertain Multiobjective Linear Programs
  • 3.10. Yue Zhou-Kangas Interactive Methods for Multiobjective Robust optimization
  • 26.9. DEMO Seminar with forest researchers
  • 18.9 Babooshka Shavazipour Multi-stage Scenario-based MCDM Structure to Dealing with Deep Uncertainty
  • 12.9 DEMO seminar: discuss funding application being prepared
  • 11.9. Jussi Hakanen Data-driven Interactive Multiobjective Optimization using a Cluster-Based Surrogate in a Discrete Decision Space & Jose Malmberg Experiences gained and tasks done in MSc thesis
  • 3.9. Majid Soleimani Damaneh (University Tehran) On robustness in multiobjective programming
  • 28.8. Javad Koushki (University of Tehran) Anchor solutions in multiobjective optimization
  • 22.8. DEMO: Kyle Eyvindson An optimization problem and solution methods
  • 21.8. Manuel López-Ibáñez (University of Manchester) Intersections between Machine Learning and Optimization
  • 15.8. Sharing experiences of conferences and MCDA/M summer school
  • 8.8. Bhupinder Singh Saini Optimization of Vanadium Microalloyed Steel Composition Using Evolutionary Deep Learning Techniques
  • 13.6. DEMO: Summarize DEMO activities and discuss about future plans
  • 11.6. Neill Bartie(Helmholtz Institute Freiberg for Resource Technology) Exploring Quantitative Modelling and Assessment Approaches for Circular Economy Systems
  • 6.6. Yue Zhou-Kangas Balancing between robustness and quality in multiobjective optimization problems under uncertainty
  • 24.5. DEMO: Kyle Eyvindson Robustness in Environmental Management
  • 9.5. Jussi Hakanen Interactive K-RVEA: interactive multiobjective evolutionary algorithm for computationally expensive problems.
  • 9.5. Vesa Ojalehto Testing interactive K-RVEA with artificial decision maker
  • 25.4. DEMO: Yue Zhou-Kangas Some concepts of multiobjective robust optimization
  • 18.4. Lu Chen A modular artificial decision maker library for comparing reference point based interactive multiobjective optimization methods
  • 11.4. VR Demonstration
  • 14.4. DEMO: Progress overview
  • 28.3. Yue Zhou-Kangas A simple indicator based evolutionary algorithm for set-based minmax robustness
  • 21.3. DEMO: Tähti Pohjanmies Future bioeconomy: sustainable future use of European forest for developing the bioeconomy
  • 14.3. DEMO: Progress overview
  • 21.2. Atanu Mazumdar Performance analysis of different models in Surrogate Assisted optimization
  • 14.2. DEMO: Kyle Eyvindson Multiple Value of Information - A Conservation approach
  • 7.2. Adhe Kania Finding all solutions of systems on nonlinear equations
  • 31.1. Plans for this year
  • 10.1. Vesa Ojalehto DESDEO open source framework for interactive multiobjective optimization
  • 9.1. DEMO: planning for papers