Hybrid-adaptive differential evolution with decay function (HyDE-DF) applied to the 100-digit challenge competition on single objective numerical optimization

التفاصيل البيبلوغرافية
العنوان: Hybrid-adaptive differential evolution with decay function (HyDE-DF) applied to the 100-digit challenge competition on single objective numerical optimization
المؤلفون: Lezama, Fernando, Soares, João, Faia, R., Vale, Zita
المساهمون: Repositório Científico do Instituto Politécnico do Porto
بيانات النشر: ACM, 2019.
سنة النشر: 2019
مصطلحات موضوعية: Computing methodologies, Applied computing, Search methodologies, Engineering, Evolutionary computation, Differential evolution, numerical optimization
الوصف: In this paper, a hybrid-adaptive differential evolution with a decay function (HyDE-DF)1 is proposed for numerical function optimization. The proposed HyDE-DF is applied to the 100-Digit Challenge in a set of 10 benchmark functions. Results show that HyDE-DF can achieve a 93/100 score, proving its effectiveness for numerical optimization.
الوصف (مترجم): This research has received funding from FEDER funds through the Operational Programme for Competitiveness and Internationalization (COMPETE 2020), under Project POCI-01-0145-FEDER-028983; by National Funds through the FCT Portuguese Foundation for Science and Technology, under Projects PTDC/EEI-EEE/28983/2017 (CENERGETIC).
وصف الملف: application/pdf
اللغة: English
العلاقة: 978-1-4503-6748-6
DOI: 10.1145/3319619.3326747
الإتاحة: http://hdl.handle.net/10400.22/18060Test
حقوق: open access
رقم الانضمام: rcaap.com.recipp.recipp.ipp.pt.10400.22.18060
قاعدة البيانات: RCAAP