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Multiobjective memetic algorithms for hard combinatorial optimization problems with heterogenneous objectives

2013/11/B/ST6/01075

Keywords:

multiobjective optimization combinatorial optimization metaheuristic algorithms

Descriptors:

  • ST6_7: Artificial intelligence, intelligent systems, multi-agent systems

Panel:

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

Host institution :

Politechnika Poznańska, Wydział Informatyki

woj. wielkopolskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr hab. Andrzej Jaszkiewicz 

Number of co-investigators in the project: 2

Call: OPUS 6 - announced on 2013-09-16

Amount awarded: 294 840 PLN

Project start date (Y-m-d): 2014-08-01

Project end date (Y-m-d): 2018-07-31

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

Project status: Project settled

Information in the final report

  • Publication in academic press/journals (5)
  1. Experimental Analysis of Design Elements of Scalarizing Functions-based Multiobjective Evolutionary Algorithms
    Authors:
    Mansoureh Aghabeig, Andrzej Jaszkiewicz
    Academic press:
    Soft Computing (rok: 2019, tom: 23, strony: 10769–10780), Wydawca: Springer
    Status:
    Published
    DOI:
    10.1007/s00500-018-3631-x - link to the publication
  2. Many-Objective Pareto Local Search
    Authors:
    Andrzej Jaszkiewicz
    Academic press:
    European Journal of Operational Research (rok: 2018, tom: 271 (3), strony: 1001-1013), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.ejor.2018.06.009 - link to the publication
  3. Improved Quick Hypervolume Algorithm
    Authors:
    Andrzej Jaszkiewicz
    Academic press:
    Computers & Operations Research (rok: 2018, tom: 90, strony: 72-83), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.cor.2017.09.016 - link to the publication
  4. Proper balance between search towards and along Pareto front: biobjective TSP case study
    Authors:
    Andrzej Jaszkiewicz, Thibaut Lust
    Academic press:
    Annals of Operations Research (rok: 2017, tom: 254, strony: 111–130), Wydawca: Springer
    Status:
    Published
    DOI:
    10.1007/s10479-017-2415-5 - link to the publication
  5. ND-Tree: a Fast Online Algorithm for Updating a Pareto Archive and its Application in Many-objective Pareto Local Search
    Authors:
    Andrzej Jaszkiewicza, Thibaut Lust
    Academic press:
    IEEE Transactions on Evolutionary Computation (), Wydawca: IEEE
    Status:
    Accepted for publication
    DOI:
    10.1109/TEVC.2018.2799684 - link to the publication

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