FiDiPro/Decision Support for Complex Multiobjective Optimization Problems (DeCoMo) (DeCoMo)

Main funder

Funder's project number: 40147/14,1570/31/201

Funds granted by main funder (€)

613 000,00

Project timetable

Project start date: 01/01/2015

Project end date: 31/12/2017


Innovation, short product design cycles and resource efficiency of processes have become increasingly important for industries due to globalization and circular economy paradigm. Multiobjective optimization can be used as a powerful tool for product innovation and improving processes holistically by finding better designs and balancing between conflicting objectives efficiently and effectively. However, multiobjective optimization problems in industries are often complex and computationally expensive involving a large number of objectives, decision variables and constraints. In addition, supporting human decision makers and involving them in optimization have rarely been considered in complex multiobjective optimization problems. In this project, we develop novel optimization methods for decision support in solving complex multiobjective optimization problems by combining modern evolutionary algorithms, machine learning techniques and multiple criteria decision making methods. In this we incorporate preference information of a human decision maker. We focus on developing surrogate-assisted optimization techniques to handle computationally expensive problems having several objectives and constraints that are commonly seen in industry. The performance of the methods developed is verified with industry problems. 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 and wider in society.

Principal Investigator

Other persons related to this project (JYU)

Contact person (yes/no): No
Contact person (yes/no): No

Primary responsible unit

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Last updated on 2018-07-06 at 13:20