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pro vyhledávání: '"Mümin Emre Şenol"'
Autor:
Mümin Emre Şenol, Adil Baykasoğlu
Publikováno v:
Engineering Computations. 39:2895-2927
PurposeThe purpose of this study is to develop a new parallel metaheuristic algorithm for solving unconstrained continuous optimization problems.Design/methodology/approachThe proposed method brings several metaheuristic algorithms together to form a
Wind energy has attracted remarkable attention in recent years as one of the most important renewable energy sources. However, wind energy production is still a costly process and one of the reasons is production processes which are usually not optim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b037e3a9e0cfb824da89a5ef7721c76
https://avesis.deu.edu.tr/publication/details/84225d9c-02b8-4593-8d3b-d5dfd511e602/oai
https://avesis.deu.edu.tr/publication/details/84225d9c-02b8-4593-8d3b-d5dfd511e602/oai
Autor:
Adil Baykasoğlu, Mümin Emre Şenol
Publikováno v:
IOCA 2021.
Publikováno v:
Computer Applications in Engineering Education. 26:1841-1861
A considerable part of educational systems tends to be online and computer oriented. However, online examination may create some difficulties during the evaluation of student performance. Process mining which arises as a new concept presents various
Autor:
Adil Baykasoğlu, Mümin Emre Şenol
Publikováno v:
Expert Systems with Applications. 138:112792
Weighted Superposition Attraction (WSA) is a swarm based metaheuristic algorithm that is lately proposed for solving continuous optimization problems. Performance of the WSA was comprehensively tested with numerous unconstrained/constrained optimizat