A Hybrid JADE–Sine Cosine Approach for Advanced Metaheuristic Optimization
This paper presents the development and application of the JADESCA optimization algorithm for solving complex engineering design problems, including the welded beam, pressure vessel, spring, and speed reducer design problems. JADESCA, a hybrid algorithm that combines elements of JADE (differential e...
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MDPI AG
2024-11-01
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| author | Abdelraouf Ishtaiwi Ahmad Sami Al-Shamayleh Hussam N. Fakhouri |
| author_facet | Abdelraouf Ishtaiwi Ahmad Sami Al-Shamayleh Hussam N. Fakhouri |
| author_sort | Abdelraouf Ishtaiwi |
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| description | This paper presents the development and application of the JADESCA optimization algorithm for solving complex engineering design problems, including the welded beam, pressure vessel, spring, and speed reducer design problems. JADESCA, a hybrid algorithm that combines elements of JADE (differential evolution with adaptive parameters) and the sine cosine algorithm (SCA), is evaluated against a range of benchmark functions from the CEC2022 competition as well as specific engineering problems. The algorithm’s performance is analyzed through convergence curves, search history diagrams, and statistical results. In engineering design problems, JADESCA consistently demonstrates superior performance by achieving optimal or near-optimal solutions with high precision and consistency. In particular, JADESCA outperforms 25 state-of-the-art optimizers over the CEC2022 benchmark functions, further proving its robustness and adaptability. Statistical comparisons and Wilcoxon rank-sum tests reinforce the superiority of JADESCA in achieving competitive results across various test cases, solidifying its effectiveness in handling complex, constrained optimization problems for engineering applications. |
| format | Article |
| id | doaj-art-2c76fa3641cc4d0cab13fe3c32d8af8f |
| institution | OA Journals |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-2c76fa3641cc4d0cab13fe3c32d8af8f2025-08-20T02:08:02ZengMDPI AGApplied Sciences2076-34172024-11-0114221024810.3390/app142210248A Hybrid JADE–Sine Cosine Approach for Advanced Metaheuristic OptimizationAbdelraouf Ishtaiwi0Ahmad Sami Al-Shamayleh1Hussam N. Fakhouri2Data Science and Artificial Intelligence, Faculty of Information Technology, University of Petra, Amman 11932, JordanDepartment of Data Science and Artificial Intelligence, Faculty of Information Technology, Al-Ahliyya Amman University, Amman 19328, JordanData Science and Artificial Intelligence, Faculty of Information Technology, University of Petra, Amman 11932, JordanThis paper presents the development and application of the JADESCA optimization algorithm for solving complex engineering design problems, including the welded beam, pressure vessel, spring, and speed reducer design problems. JADESCA, a hybrid algorithm that combines elements of JADE (differential evolution with adaptive parameters) and the sine cosine algorithm (SCA), is evaluated against a range of benchmark functions from the CEC2022 competition as well as specific engineering problems. The algorithm’s performance is analyzed through convergence curves, search history diagrams, and statistical results. In engineering design problems, JADESCA consistently demonstrates superior performance by achieving optimal or near-optimal solutions with high precision and consistency. In particular, JADESCA outperforms 25 state-of-the-art optimizers over the CEC2022 benchmark functions, further proving its robustness and adaptability. Statistical comparisons and Wilcoxon rank-sum tests reinforce the superiority of JADESCA in achieving competitive results across various test cases, solidifying its effectiveness in handling complex, constrained optimization problems for engineering applications.https://www.mdpi.com/2076-3417/14/22/10248optimizationmetaheuristicengineering designdifferential evolution |
| spellingShingle | Abdelraouf Ishtaiwi Ahmad Sami Al-Shamayleh Hussam N. Fakhouri A Hybrid JADE–Sine Cosine Approach for Advanced Metaheuristic Optimization Applied Sciences optimization metaheuristic engineering design differential evolution |
| title | A Hybrid JADE–Sine Cosine Approach for Advanced Metaheuristic Optimization |
| title_full | A Hybrid JADE–Sine Cosine Approach for Advanced Metaheuristic Optimization |
| title_fullStr | A Hybrid JADE–Sine Cosine Approach for Advanced Metaheuristic Optimization |
| title_full_unstemmed | A Hybrid JADE–Sine Cosine Approach for Advanced Metaheuristic Optimization |
| title_short | A Hybrid JADE–Sine Cosine Approach for Advanced Metaheuristic Optimization |
| title_sort | hybrid jade sine cosine approach for advanced metaheuristic optimization |
| topic | optimization metaheuristic engineering design differential evolution |
| url | https://www.mdpi.com/2076-3417/14/22/10248 |
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