Ewa P Gajda-Zagorska
2 Publications
2017 | Published | Journal Article | IST-REx-ID: 1152 | 
E. P. Gajda-Zagorska, R. Schaefer, M. Smołka, D. Pardo, and J. Alvarez Aramberri, “A multi objective memetic inverse solver reinforced by local optimization methods,” Journal of Computational Science, vol. 18. Elsevier, pp. 85–94, 2017.
[Submitted Version]
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| Files available
| DOI
| WoS
2016 | Published | Journal Article | IST-REx-ID: 1141
R. Łazarz, M. Idzik, K. Gądek, and E. P. Gajda-Zagorska, “Hierarchic genetic strategy with maturing as a generic tool for multiobjective optimization,” Journal of Computational Science, vol. 17, no. 1. Elsevier, pp. 249–260, 2016.
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| DOI
| WoS
Grants
2 Publications
2017 | Published | Journal Article | IST-REx-ID: 1152 |
E. P. Gajda-Zagorska, R. Schaefer, M. Smołka, D. Pardo, and J. Alvarez Aramberri, “A multi objective memetic inverse solver reinforced by local optimization methods,” Journal of Computational Science, vol. 18. Elsevier, pp. 85–94, 2017.
[Submitted Version]
View
| Files available
| DOI
| WoS
2016 | Published | Journal Article | IST-REx-ID: 1141
R. Łazarz, M. Idzik, K. Gądek, and E. P. Gajda-Zagorska, “Hierarchic genetic strategy with maturing as a generic tool for multiobjective optimization,” Journal of Computational Science, vol. 17, no. 1. Elsevier, pp. 249–260, 2016.
View
| DOI
| WoS