Academic Journal

An efficient Planet Optimization Algorithm for solving engineering problems

التفاصيل البيبلوغرافية
العنوان: An efficient Planet Optimization Algorithm for solving engineering problems
المؤلفون: To, Thanh Sang, Le, Minh Hoang, Abdel Wahab, Magd, Cuong-Le, Thanh
المصدر: SCIENTIFIC REPORTS ; ISSN: 2045-2322
سنة النشر: 2022
المجموعة: Ghent University Academic Bibliography
مصطلحات موضوعية: Technology and Engineering, Multidisciplinary, PARTICLE SWARM OPTIMIZATION, OPTIMAL-DESIGN, EVOLUTION, INTEGER
الوصف: In this study, a meta-heuristic algorithm, named The Planet Optimization Algorithm (POA), inspired by Newton's gravitational law is proposed. POA simulates the motion of planets in the solar system. The Sun plays the key role in the algorithm as at the heart of search space. Two main phases, local and global search, are adopted for increasing accuracy and expanding searching space simultaneously. A Gauss distribution function is employed as a technique to enhance the accuracy of this algorithm. POA is evaluated using 23 well-known test functions, 38 IEEE CEC benchmark test functions (CEC 2017, CEC 2019) and three real engineering problems. The statistical results of the benchmark functions show that POA can provide very competitive and promising results. Not only does POA require a relatively short computational time for solving problems, but also it shows superior accuracy in terms of exploiting the optimum.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
Relation: https://biblio.ugent.be/publication/8755706; http://hdl.handle.net/1854/LU-8755706; http://dx.doi.org/10.1038/s41598-022-12030-w; https://biblio.ugent.be/publication/8755706/file/8755707
DOI: 10.1038/s41598-022-12030-w
الاتاحة: https://biblio.ugent.be/publication/8755706
http://hdl.handle.net/1854/LU-8755706
https://doi.org/10.1038/s41598-022-12030-w
https://biblio.ugent.be/publication/8755706/file/8755707
Rights: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) ; info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.6D9EE20D
قاعدة البيانات: BASE
الوصف
DOI:10.1038/s41598-022-12030-w