Çörüş, Doğan

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Name Variants
Corus,D.
Corus, Dogan
Corus,Dogan
C.,Dogan
DOĞAN ÇÖRÜŞ
D. Çörüş
ÇÖRÜŞ, Doğan
Doğan Çörüş
Ç., Doğan
Dogan, Corus
C., Dogan
Çörüş D.
Çörüş, D.
D. Cörüş
ÇÖRÜŞ, DOĞAN
Doğan ÇÖRÜŞ
Çörüş,D.
Çörüş, Doğan
Cörüş, Doğan
Cörüş, D.
Doğan Cörüş
Çörüş, DOĞAN
Job Title
Dr. Öğr. Üyesi
Email Address
dogan.corus@khas.edu.tr
Main Affiliation
Computer Engineering
Status
Website
ORCID ID
0000-0003-4151-2734
Scopus Author ID
55837546200
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
ABA-7118-2021
Scholarly Output

2

Articles

1

Citation Count

17

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0

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Author: Corus, Dogan

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    Citation - WoS: 10
    Citation - Scopus: 11
    Automatic Adaptation of Hypermutation Rates for Multimodal Optimisation
    (Assoc Computing Machinery, 2021) Çörüş, Doğan; Oliveto, Pietro S.; Yazdani, Donya
    Previous work has shown that in Artificial Immune Systems (AIS) the best static mutation rates to escape local optima with the ageing operator are far from the optimal ones to do so via large hypermutations and vice-versa. In this paper we propose an AIS that automatically adapts the mutation rate during the run to make good use of both operators. We perform rigorous time complexity analyses for standard multimodal benchmark functions with significant characteristics and prove that our proposed algorithm can learn to adapt the mutation rate appropriately such that both ageing and hypermutation are effective when they are most useful for escaping local optima. In particular, the algorithm provably adapts the mutation rate such that it is efficient for the problems where either operator has been proven to be effective in the literature.