Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

Equipment

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New directions in interactive evolutionary multiple objective optimization based on holistic preference information

2016/23/N/ST6/03795

Keywords:

Multiple Objective Optimization Evolutionary Algorithms Interactive Algorithms Preference Learning

Descriptors:

  • ST6_12: Scientific computing, simulation and modelling tools
  • ST6_14: Other related subjects

Panel:

ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution :

Politechnika Poznańska, Wydział Informatyki i Telekomunikacji

woj. wielkopolskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr Michał Tomczyk 

Number of co-investigators in the project: 2

Call: PRELUDIUM 12 - announced on 2016-09-15

Amount awarded: 100 000 PLN

Project start date (Y-m-d): 2017-07-27

Project end date (Y-m-d): 2021-07-26

Project duration:: 48 months (the same as in the proposal)

Project status: Project settled

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Equipment purchased [PL]

  1. Wieloprocesorowy komputer (10 000 PLN)

Information in the final report

  • Publication in academic press/journals (4)
  • Articles in post-conference publications (2)
  1. Decomposition-based interactive evolutionary algorithm for multiple objective optimization
    Authors:
    Michał Tomczyk, Miłosz Kadziński
    Academic press:
    IEEE Transactions on Evolutionary Computation (rok: 2020, tom: 24, strony: 320-334), Wydawca: IEEE Computational Intelligence Society
    Status:
    Published
    DOI:
    10.1109/TEVC.2019.2915767 - link to the publication
  2. EMOSOR: Evolutionary Multiple Objective Optimization Guided by Interactive Stochastic Ordinal Regression
    Authors:
    Michał Tomczyk, Miłosz Kadziński
    Academic press:
    Computers and Operations Research (rok: 2019, tom: 108, strony: 134-154), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.cor.2019.04.008 - link to the publication
  3. Preference-based cone contraction algorithms for interactive evolutionary multiple objective optimization
    Authors:
    Miłosz Kadziński, Michał Tomczyk, Roman Słowiński
    Academic press:
    Swarm and Evolutionary Computation (rok: 2020, tom: 52, strony: 100602), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.swevo.2019.100602 - link to the publication
  4. Decomposition-based co-evolutionary algorithm for interactive multiple objective optimization
    Authors:
    Michał Tomczyk, Miłosz Kadziński
    Academic press:
    Information Sciences (rok: 2021, tom: 549, strony: 178-199), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.ins.2020.11.030 - link to the publication
  1. Robust indicator-based algorithm for interactive evolutionary multiple objective optimization
    Authors:
    Michał Tomczyk, Miłosz Kadziński
    Conference:
    The Genetic and Evolutionary Computation Conference (GECCO) 2019 (rok: 2019, ), Wydawca: ACM Press
    Data:
    konferencja 13-17 lipca 2019
    Status:
    Published
  2. On the elicitation of indirect preferences in interactive evolutionary multiple objective optimization
    Authors:
    Michał Tomczyk, Miłosz Kadziński
    Conference:
    The Genetic and Evolutionary Computation Conference (GECCO) 2020 (rok: 2020, ), Wydawca: ACM Press
    Data:
    konferencja 8-12 lipca
    Status:
    Published

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