Scopus
🔓 Açık Erişim YÖKSİS Eşleşti
Comparison of NSGA-II and MODE performances by using MCDM methods for multi-response experimental data
Sigma Journal of Engineering and Natural Sciences · Şubat 2025
YÖKSİS Kayıtları
Comparison of NSGA-II and MODE performances by using MCDM methods for multi-response experimental data
Sigma Journal of Engineering and Natural Sciences – Sigma Mühendislik ve Fen Bilimleri Dergisi · 2025 ESCI
PROFESÖR NİMET YAPICI PEHLİVAN →
Makale Bilgileri
DergiSigma Journal of Engineering and Natural Sciences
Yayın TarihiŞubat 2025
Cilt / Sayfa43 · 133-147
Scopus ID2-s2.0-86000178368
Erişim🔓 Açık Erişim
Özet
Multi-response experimental data, composed with more than one response variable, can be examined in three stages: modeling, optimization and decision making. In this study, these three stages were considered sequentially. Model parameters were estimated through Seemingly Unrelated Regression (SUR) method due to linear correlation between responses during the modeling stage. In the optimization stage, simultaneous optimization of predicted multiple responses were considered as a multi-objective optimization (MOO) problem. For this purpose, Non-dominated Sorting Genetic Algorithm-II (NSGA-II) and Multi Objective Differential Evolution (MODE), were applied to obtain Pareto solution sets. In the decision making stage, compromise solution was chosen from the Pareto sets through various multi-criteria decision making (MCDM) methods. This study aims to compare performances of the NSGA-II and the MODE via various MCDM methods using three real data sets taken from different fields. The novelty of this paper is applying the MCDM methods to the Pareto solution set to choose a compromise solution by taking into account the Entropy weights of responses primarily. Afterwards, closeness of the compromise solution to the ideal solution using the mean absolute error (MAE) and the root mean square error (RMSE) metrics is calculated for decision making on the performance of the MOO methods. The results showed that compromise solution of the MODE is closer to the ideal solution than the NSGA-II according to the MAE and RMSE metrics. As a result, the MODE outperforms the NSGA-II.
Yazarlar (3)
1
Serhan Tuncel
ORCID: 0000-0002-3598-0331
2
Ozlem Turksen
ORCID: 0000-0002-5592-1830
3
Nimet Yapıcı Pehlivan
Anahtar Kelimeler
MCDM
MODE
Multi-response Experimental Data
NSGA-II
Kurumlar
Ankara Üniversitesi
Ankara Turkey
Hacettepe Üniversitesi
Ankara Turkey
Selçuk Üniversitesi
Selçuklu Turkey
Metrikler
1
Atıf
3
Yazar
4
Anahtar Kelime