Seminar Program 2015

If not otherwise indicated, all seminars take place in Ag C421.1
  • 21.1. Yaochu Jin (Professor at the University of Surrey and FiDiPro at the University of Jyvaskyla) About my research activities and the FiDiPro at the University of Jyaskyla
  • 28.1. Kaisa Miettinen and Jussi Hakanen Experiences at the Dagstuhl seminar
  • 4.2. Tinkle Chugh Experiences at CSC course for High performance scientific computing in Python and presented Prof Jin’s paper “A Multiobjective Evolutionary Algorithm using Gaussian Process based Inverse Modeling”
  • 9.2. Audrius Varoneckas (a postdoc researcher at Institute of Mathematics and Informatics, Vilnius University) Visualization of Pareto sets in multi-objective optimization problems
  • 10.2. Silvia Poles (Noesis Solutions) Optimus software and its capabilities in multiobjective optimization
  • 18.2. in AgC431.1. Yue Zhou-Kangas Discussion about a paper titled "A novel lifetime extension measure for optimized energy-autonomous wireless backhaul networks" by C. Mannweiler, P. Chakraborty and H. Schotten, published at The tenth international symposium on wireless communication systems 2013.
  • 4.3. Eero Hakavuori Objective reduction in multiobjective optimization
  • 11.3. Kerstin Daechert (University of Duisburg-Essen, Germany) On the computation of the nondominated set by scalarizations with adaptive parameter selection
  • 18.3. Dmitry Podkopaev (Systems Research Institute of the Polish Academy of Sciences) Optimization of the supply chain for biomass production in forestry
  • 25.3. in AgC431.1. Tinkle Chugh and Markus Hartikainen Presentations at the EMO2015 conference
  • 7.4. Thomas Bäck (Natural Computing Group, Leiden Institute of Advanced Computer Science (LIACS), Leiden University, Netherlands) Optimization in Industry: Challenges and Multiobjective Examples
  • 7.4. Francisco Ruiz (University of Málaga, Spain.) Hybrid Interactive Multiobjective Optimization Systems. Some Real Applications
  • 15.4. Experiences at the EMO2015 conference and other practical matters
  • 22.4. Yue Zhou-Kangas On the topology generation of
  • 6.5. Jussi Hakanen Adding variables to design of experiments
  • 11.5. Yaochu Jin (Professor at the University of Surrey and FiDiPro at the University of Jyvaskyla) Evolutionary Dynamic Optimization: To Track or not to Track?
  • 20.5. Karthik Sindhya Uniform Evolutionary Multiobjective Methods
  • 27.5. Kaisa Miettinen Hints for meetings
  • 3.6. Tinkle Chugh A journey towards reducing computation time: Lessons learnt
  • 11.6. Presentations at the MCDM2015 and ISMP2015 conferences
  • 24.6. Chaoli Sun (University of Surrey) Fitness Estimation in PSO and
    Ran Cheng
    (University of Surrey) SL-PSO/CSO for Large Scale Optimization or Recent Work on RVEA
  • 11.8. Anders Forsgren (Professor at KTH, Sweden) Nonlinear optimization methods and applications
  • 2.9. Tomáš Krátký Pumps hydraulic design optimization using CFD
  • 30.9. Mariano Luque (Department of Applied Economics (Mathematics), University of Málaga) A Family of Evolutionary Multiobjective Optimization Algorithms
  • 14.10. Ville Hopponen (Beckhoff Automation) Beckhoff Automation software
  • 21.10. Mohammad Tabatabaei The SURROGATE-ASF method
  • 28.10. Rebekah Rousi (University of Jyväskylä, Computer Science and Information Systems) Usability studies at the department of Computer Science and Information Systems
  • 4.11. An overview of the FINNOPT project and seminars during the summer 2016
  • 10.11. Markus Hartikainen Ipython notebooks in multiobjective optimization method development
  • 2.12. Benjamin Martin
  • 9.12. Tinkle Chugh A surrogate-assisted reference vector guided evolutionary algorithm for many objective optimization
  • 16.12. Kirsto Mela