Research Projects and Industrial Applications

Currently, our group has two research projects.

  • Academy of Finland funds the project DESDEO (Decision Support for Computationally Demanding Optimization Problems) in 2015-2019. In this project, new interactive multiobjective optimization methods are developed for dealing with computationally demanding problems (e.g. when function evaluations are time-consuming or dimensions are high). In hybrid methods to be developed, expertise and strengths of different fields are combined. In addition. a novel, general interactive multiobjective optimization framework is developed. It includes open interfaces to connect external modules to it. With this project, interactive multiobjective optimization is brought closer to users and awareness of its potential is increased.
  • In the FiDiPro project DeCoMo (Decision Support for Complex Multiobjective Optimization Problems), FiDiPro Professor Yaochu Jin, Chair in Computational Intelligence, Department of Computing, University of Surrey, UK works in Jyvaskyla in 2015-2017. The project is funded by Tekes, Outotec, Fingrid. It involves also FIMECC, Fortum Power and Heat, Simosol, Valmet Power, Valtra and Honda Research Institute Europe.

    FiDiPro Professor Yaochu Jin is a world-leading researcher in surrogate-assisted evolutionary optimization as well as multiobjective optimization. He has rich expertise in learning systems, in particular in integrating evolution and learning. Additionally, he has long experience working with the Honda Research Institute, where he worked on various real-world aerodynamic optimization problems.

    In DeCoMo, the expertise of Prof. Jin and that of the Industrial Optimization group in interactive multiobjective optimization complement each other and together we develop novel optimization methods for decision support in solving complex multiobjective optimization problems by combining modern meta-heuristics and machine learning techniques. The output of this project will be a prototype of an intelligent decision support tool that can make advanced multiobjective optimization methods available for industry, thereby significantly enhancing the innovation capability and competitiveness of the Finnish industries.

  • FINNOPT was a one year project (August 2014-July 2015) funded by Tekes. The aim of FINNOPT was to commercialize the state-of-the-art methods in optimization, developed at the Industrial Optimization Group.
  • Tekes-funded project SIMPRO, Computational methods in mechanical engineering product development, 2012-2015, (joint project with VTT, Altoo University, Tampere University of Technology and Lappeenranta University of Technology) focused on methods and systems of high-performance computing in mechanical engineering, application of optimisation as well as design and sensitivity analyses, linking requirement and customer-based design and simulation as well as the data management of modelling and simulation. The project was also funded by several companies.
  • Tekes-funded project HUBI, 2011-2013, (joint project with VTT) developed tools for multilevel modelling and simulation of process plants and their engineering and business processes. The tools were to be connected to a common use environment (hub) through which the models can be made available also for other users. In addition to the solvers of different levels of details, tools for optimization were studied. The project was also funded by several companies.
  • Academy of Finland funded the project Strategic Development of Multiobjective Optimization: Theory and Software in 2009-2012. The project focused on both theoretical challenges of multiobjective optimization and software implementation of IND-NIMBUS.
  • ForestCluster (a company owned by several universities, research institutes and firms in the forest and pulp and paper sector) and Tekes funded a project POJo and its continuation project WP9 in the EffNet program of Finnish Bioeconomy Cluster Ltd (former Forestcluster Ltd). POJo was a joint project with Tampere University of Technology, VTT, Helsinki University of Technology and University of Kuopio in 2008-2010. WP9 was a joint project with Tampere University of Technology, VTT, Aalto University and University of Eastern Finland in 2010-2012. In these projects, a new model-based and optimizing design concept for material and information flows in production systems was developed. The overall aim was to increase flexibility in process design and reduce the amount of capital invested in production lines. The main application area was pulp and paper industry.
  • Tekes funded the project BioScen (joint project with Aalto University and the Technical Research Centre of Finland (VTT)), which was a part of the BioRefine technology programme in 2008-2011. The research was focused on developing a basis for the modeling and simulation of the unit processes of a biorefinery. The sensitivity of such models to uncertainties in process parameters, optimization of the production plant concepts and finally for life-cycle analysis of the biorefinery products were considered. This project was also funded by several companies.
  • University Alliance funded the project Measurements, Data Analysis and Multiobjective Optimization (MeMO) in 2008-2010.
  • Tekes funded the project Hyvä-tietää, multiobjective optimization and multidisciplinary decision support (joint project with Helsinki School of Economics, University of Kuopio, Tampere University of Technology and Helsinki University of Technology), which belonged to the MASI technology programme, in 2005-2008. Several companies were involved.
  • Tekes funded the project NIMBUS - multiobjective optimization in product development in 2002-2005. Several companies funded the research as well. Further information is available at the project website.
  • Several projects of the Academy of Finland devoted to nonlinear multiobjective optimization and multiple criteria decision making (method, theory and software development) have been active during the years.

Examples of some applications from previous projects include continuous casting of steel (optimal control of secondary cooling), headbox design for paper machines, paper machine design (paper quality), ultrasonic transducer design, chemical process design (various processes in paper production), optimization of simulated moving bed processes (separation of fructose and glucose), optimal shape design of exhaust pipe (in two-stroke engines), intensity modulated radiotherapy treatment planning and brachytherapy planning as well as wastewater treatment plant design and heat transfer network synthesis.

For further information, see publications of the Industrial Optimization Group.