DOĞAN ÇÖRÜŞ

Dr. Öğr. Üyesi DOĞAN ÇÖRÜŞ

D BLOK 3. KAT 304

+90 (212) 5336532 - 1411

[email protected]

ORCID

Eğitim

Doktora

UNIVERSITY OF NOTTİNGHAM
Bilgisayar Bilimleri

Yüksek Lisans

KOÇ ÜNİVERSİTESİ
Endüstri Mühendisliği

Lisans

KOÇ ÜNİVERSİTESİ
Endüstri Mühendisliği

Araştırma Alanları

  • Teorik Bilgisayar Bilimleri
  • Evrimsel Algoritmalar

İş Deneyimi

2022 / Devam Eden Kadir Has Üniversitesi
Dr. Öğr. Görevlisi

2020 / 2022 Kadir Has Üniversitesi
Misafir Dr. Öğr. Görevlisi

2015 / 2020 University of Sheffield
Araştırma Görevlisi

Yayınlar

  • Corus, Dogan; Lissovoi, Andrei; Oliveto, Pietro S.; Witt, Carsten (2021), "On Steady-State Evolutionary Algorithms and Selective Pressure: Why Inverse Rank-Based Allocation of Reproductive Trials Is Best", ACM Transactions on Evolutionary Learning and Optimization, Vol.1, No.1, DOI: 10.1145/3427474
  • Corus, Dogan; Oliveto, Pietro S.; Yazdani, Donya (2021), "Fast Immune System-Inspired Hypermutation Operators for Combinatorial Optimization", IEEE Transactions on Evolutionary Computation, Vol.25, No.5, 956-970 DOI: 10.1109/TEVC.2021.3068574
  • Corus, Dogan; Oliveto, Pietro S.; Yazdani, Donya (2021), "Automatic adaptation of hypermutation rates for multimodal optimisation", FOGA 2021 - Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, DOI: 10.1145/3450218.3477305
  • Corus, Dogan; Oliveto, Pietro S.; Yazdani, Donya (2020), "When hypermutations and ageing enable artificial immune systems to outperform evolutionary algorithms", Theoretical Computer Science, Vol.832, 166-185 DOI: 10.1016/j.tcs.2019.03.002
  • Corus, Dogan; Oliveto, Pietro S. (2020), "On the Benefits of Populations for the Exploitation Speed of Standard Steady-State Genetic Algorithms", Algorithmica, Vol.82, No.12, 3676-3706 DOI: 10.1007/s00453-020-00743-1
  • Corus, Dogan; Oliveto, Pietro S.; Yazdani, Donya (2019), "Artificial immune systems can find arbitrarily good approximations for the NP-hard number partitioning problem", Artificial Intelligence, Vol.274, 180-196 DOI: 10.1016/j.artint.2019.03.001
  • Corus, Dogan; Oliveto, Pietro S. (2019), "On the benefits of populations for the exploitation speed of standard steady-state genetic algorithms", GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference, 1452-1460 DOI: 10.1145/3321707.3321783
  • Corus, Dogan; Oliveto, Pietro S.; Yazdani, Donya (2019), "On inversely proportional hypermutations with mutation potential", GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference, 215-223 DOI: 10.1145/3321707.3321780
  • Corus, Dogan; Oliveto, Pietro S. (2018), "Standard Steady State Genetic Algorithms Can Hillclimb Faster Than Mutation-Only Evolutionary Algorithms", IEEE Transactions on Evolutionary Computation, Vol.22, No.5, 720-732 DOI: 10.1109/TEVC.2017.2745715
  • Corus, Dogan; Dang, Duc Cuong; Eremeev, Anton V.; Lehre, Per Kristian (2018), "Level-Based Analysis of Genetic Algorithms and Other Search Processes", IEEE Transactions on Evolutionary Computation, Vol.22, No.5, 707-719 DOI: 10.1109/TEVC.2017.2753538
  • Corus, Dogan; Oliveto, Pietro S. (2018), "Standard steady state genetic algorithms can hillclimb faster than evolutionary algorithms using standard bit mutation", GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion, 11-12 DOI: 10.1145/3205651.3208214
  • Corus, Dogan; Oliveto, Pietro S.; Yazdani, Donya (2018), "Artificial immune systems can find arbitrarily good approximations for the np-hard partition problem", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol.11102 LNCS, 16-28 DOI: 10.1007/978-3-319-99259-4_2
  • Corus, Dogan; Oliveto, Pietro S.; Yazdani, Donya (2018), "Fast artificial immune systems", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol.11102 LNCS, 67-78 DOI: 10.1007/978-3-319-99259-4_6
  • Corus, Dogan; Lehre, Per Kristian (2018), "Theory driven design of efficient genetic algorithms for a classical graph problem", Operations Research/ Computer Science Interfaces Series, Springer Science + Business Media
  • Corus, Dogan; Oliveto, Pietro S.; Yazdani, Donya (2017), "On the runtime analysis of the Opt-IA artificial immune system", GECCO 2017 - Proceedings of the 2017 Genetic and Evolutionary Computation Conference, 83-90 DOI: 10.1145/3071178.3079194
  • Corus, Dogan; He, Jun; Jansen, Thomas; Oliveto, Pietro S.; Sudholt, Dirk; Zarges, Christine (2017), "On Easiest Functions for Mutation Operators in Bio-Inspired Optimisation", Algorithmica, Vol.78, No.2, 714-740 DOI: 10.1007/s00453-016-0201-4
  • Corus, Dogan; Lehre, Per Kristian; Neumann, Frank; Pourhassan, Mojgan (2016), "A parameterised complexity analysis of bi-level optimisation with evolutionary algorithms", Evolutionary Computation, Vol.24, No.1, 183-203 DOI: 10.1162/EVCO_a_00147
  • Paixão, Tiago; Badkobeh, Golnaz; Barton, Nick; Çörüş, Doğan; Dang, Duc Cuong; Friedrich, Tobias; Lehre, Per Kristian; Sudholt, Dirk; Sutton, Andrew M.; Trubenová, Barbora (2015), "Toward a unifying framework for evolutionary processes", Journal of Theoretical Biology, Vol.383, 28-43 DOI: 10.1016/j.jtbi.2015.07.011
  • Corus, Dogan; Oliveto, Pietro S.; He, Jun; Sudholt, Dirk; Jansen, Thomas; Zarges, Christine (2015), "On easiest functions for somatic contiguous hypermutations and standard bit mutations", GECCO 2015 - Proceedings of the 2015 Genetic and Evolutionary Computation Conference, 1399-1406 DOI: 10.1145/2739480.2754799
  • Corus, Dogan; Dang, Duc Cuong; Eremeev, Anton V.; Lehre, Per Kristian (2014), "Level-based analysis of genetic algorithms and other search processes", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol.8672, 912-921 DOI: 10.1007/978-3-319-10762-2_90
  • Corus, Dogan; Lehre, Per Kristian; Neumann, Frank (2013), "The generalized minimum spanning tree problem: A parameterized complexity analysis of Bi-level optimisation", GECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference, 519-525 DOI: 10.1145/2463372.2463442

Verilen Dersler

Ders Adı Ders Kodu Dönem
Bilgisayar Benzetimi CMPE412 2023/24 Bahar
Bilgisayar Oyunu Tasarım Projesi MTE291 2023/24 Bahar
Programlama EEE206 2023/24 Bahar
Çizge Algoritmaları CE608*1 2023/24 Güz
Yazılım Tasarım Projesi MTE391*1 2023/24 Güz
Algoritma Analizi CMPE353 2023/24 Güz