Zmiana języka

Projects search

Developing new strategies of dynamic controlling the number of evolving subpopulations in co-evolutionary optimization

2015/19/D/ST6/03115

Keywords

Descriptors

  • ST6_7: Sztuczna inteligencja, systemy inteligentne i wieloagentowe

Panel

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

Host institution

Politechnika Wrocławska

Voivodeship: dolnośląskie

Other projects carried out by the institution »

Principal investigator (from the host institution)

dr Michał Przewoźniczek

Number of co-investigators in the project: 2

Call

SONATA 10 – announced on 2015-09-15

Amount awarded
144 000 PLN
Project start date
2016-06-22
Project end date
2020-10-21
Project duration
52 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.

Information in the final report

Publication in academic press/journals (5)

  1. Splitting the fitness and penalty factor for temporal diversity increase in practical problem solving.

    Authors:
    Michał W. Przewoźniczek, Rituparna Datta, Krzysztof Walkowiak, Marcin M. Komarnicki
    Academic press:
    Expert Systems with Applications (year: 2020, volume: 145, pages: 46033), Publisher: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.eswa.2019.113126 – link to the publication

  2. Subpopulation Initialization Driven by Linkage Learning for Dealing with Long-Way-To-Stuck Effect in Methods Using Dynamic Subpopulation Number Control Strategies

    Authors:
    M.W.Przewozniczek
    Academic press:
    Information Sciences (year: 2020, volume: 521, pages: 62-80), Publisher: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.ins.2020.02.027 – link to the publication

  3. Universal Strategy of Dynamic Subpopulation Number Management in Practical Network Optimization Problems

    Authors:
    Michal Witold Przewozniczek, Róża Goścień
    Academic press:
    Applied Soft Computing (year: 2019, volume: 82, pages: brak danych), Publisher: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.asoc.2019.105592 – link to the publication

  4. Empirical Linkage Learning

    Authors:
    Michal Witold Przewozniczek, Marcin Michal Komarnicki
    Academic press:
    IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (year: 2020, volume: 24, pages: 1097-1111), Publisher: IEEE
    Status:
    Published
    DOI:
    10.1109/TEVC.2020.2985497 – link to the publication

  5. The transformation of the k-Shortest Steiner trees search problem into binary dynamic problem for effective evolutionary methods application

    Authors:
    Michał Witold Przewoźniczek, Krzysztof Walkowiak, Arunabha Sen, Marcin Komarnicki, Piotr Lechowicz
    Academic press:
    Information Sciences (year: 2019, volume: 479, pages: 46041), Publisher: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.ins.2018.11.015 – link to the publication

Articles in post-conference publications (9)

  1. Problem Encoding Allowing Cheap Fitness Computation of Mutated Individuals

    Authors:
    Michal Witold Przewoźniczek
    Conference:
    2017 Congress on Evolutionary Computation (CEC 2017) (year: 2017, pages: 308-316), Publisher: IEEE
    Date:
    conference June 5-8, San Sebastian
    Status:
    Published

  2. Comparative Mixing for DSMGA-II

    Authors:
    M. M. Komarnicki, M. W. Przewozniczek, T. M. Durda
    Conference:
    The Genetic and Evolutionary Computation Conference (GECCO 2020) (year: 2020, pages: 708-716), Publisher: ACM
    Date:
    conference July 8th-12th 2020
    Status:
    Published

  3. Parameter-less, Population-sizing DSMGA-II

    Authors:
    Marcin M. Komarnicki, Michal W. Przewozniczek
    Conference:
    GECCO '19 : Proceedings of the Genetic and Evolutionary Computation Conference Companion (year: 2019, pages: 289-290), Publisher: ACM
    Date:
    conference 43659
    Status:
    Published

  4. Parameter-less Population Pyramid for Permutation-based Problems

    Authors:
    S. Wozniak, M.W. Przewozniczek, M.M. Komarnicki
    Conference:
    Parallel Solving From Nature (PPSN 2020) (year: 2020, pages: 418-430), Publisher: Springer
    Date:
    conference 5-9 września
    Status:
    Published

  5. On measuring and improving the quality of linkage learning in modern evolutionary algorithms applied to solve partially additively separable problems

    Authors:
    M. W. Przewozniczek, B. Frej, M. M. Komarnicki
    Conference:
    The Genetic and Evolutionary Computation Conference (GECCO 2020) (year: 2020, pages: 742-750), Publisher: ACM
    Date:
    conference July 8th-12th 2020
    Status:
    Published

  6. The influence of fitness caching on modern evolutionary methods and fair computation load measurement

    Authors:
    Michal Witold Przewozniczek, Marcin Michal Komarnicki
    Conference:
    The Genetic and Evolutionary Computation Conference (GECCO 2018) (year: 2018, pages: 241-242), Publisher: ACM
    Date:
    conference July 15th-19th 2018
    Status:
    Published

  7. The Practical Use of Problem Encoding Allowing Cheap Fitness Computation of Mutated Individuals

    Authors:
    Michal Witold Przewozniczek, Marcin Michal Komarnicki
    Conference:
    2018 Federated Conference on Computer Science and Information Systems (FedCSIS) (year: 2018, pages: 57-65), Publisher: IEEE
    Date:
    conference 9 - 12 September, 2018
    Status:
    Published

  8. Parameter-less population pyramid with automatic feedback.

    Authors:
    Adam M. Zieliński, Marcin M. Komarnicki, Michał W. Przewoźniczek
    Conference:
    GECCO '19 : Proceedings of the Genetic and Evolutionary Computation Conference Companion (year: 2019, pages: 312-313), Publisher: ACM
    Date:
    conference 43663
    Status:
    Published

  9. Parameter-less Population Pyramid with Feedback

    Authors:
    M. M. Komarnicki, M. W. Przewozniczek
    Conference:
    The Genetic and Evolutionary Computation Conference (GECCO 2017) (year: 2017, pages: 109-110), Publisher: ACM
    Date:
    conference July 15th-19th
    Status:
    Published

Book publications / chapters in book publications (1)

  1. The Effectiveness of the Simplicity in Evolutionary Computation

    Authors:
    Przewozniczek M.W., Walkowiak K., Aibin M.
    Book:
    Intelligent Information and Database Systems (year: 2017, volume: 1, pages: 392-402), Publisher: Springer, Cham
    Status:
    Published

« New search

Graphic design and implementation: Jakub Piotrowski