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Mehmet Akif Sahman
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2020 – today
- 2022
- [j8]Mehmet Akif Sahman, Sedat Korkmaz:
Discrete Artificial Algae Algorithm for solving Job-Shop Scheduling Problems. Knowl. Based Syst. 256: 109711 (2022) - 2021
- [j7]Mehmet Akif Sahman:
A discrete spotted hyena optimizer for solving distributed job shop scheduling problems. Appl. Soft Comput. 106: 107349 (2021) - [j6]Kemal Tütüncü, Mehmet Akif Sahman, Ekrem Tusat:
A hybrid binary grey wolf optimizer for selection and reduction of reference points with extreme learning machine approach on local GNSS/leveling geoid determination. Appl. Soft Comput. 108: 107444 (2021) - [j5]Sedat Korkmaz, Mehmet Akif Sahman, Ahmet Cevahir Cinar, Ersin Kaya:
Boosting the oversampling methods based on differential evolution strategies for imbalanced learning. Appl. Soft Comput. 112: 107787 (2021) - [j4]Ersin Kaya, Sedat Korkmaz, Mehmet Akif Sahman, Ahmet Cevahir Cinar:
DEBOHID: A differential evolution based oversampling approach for highly imbalanced datasets. Expert Syst. Appl. 169: 114482 (2021)
2010 – 2019
- 2018
- [j3]Mehmet Akif Sahman, Adem Alpaslan Altun, Abdullah Oktay Dündar:
A new MILP model proposal in feed formulation and using a hybrid-linear binary PSO (H-LBP) approach for alternative solutions. Neural Comput. Appl. 29(2): 537-552 (2018) - 2016
- [b1]Mehmet Akif Sahman:
Karışım problemlerinde esnek hesaplama yöntemleri kullanarak maliyet optimizasyonu (Cost optimization in mixture problems by using soft computing techniques). Selçuk University, Turkey, 2016 - 2013
- [j2]Adem Alpaslan Altun, Mehmet Akif Sahman:
Cost optimization of mixed feeds with the particle swarm optimization method. Neural Comput. Appl. 22(2): 383-390 (2013)
2000 – 2009
- 2009
- [j1]Mehmet Akif Sahman, Mehmet Çunkas, Seref Inal, Fatma Inal, Behiç Coskun, Ugur Taskiran:
Cost optimization of feed mixes by genetic algorithms. Adv. Eng. Softw. 40(10): 965-974 (2009)
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