An Improved Gradient-Based Optimization Algorithm for Solving Complex Optimization Problems
In this paper, an improved gradient-based optimizer (IGBO) is proposed with the target of improving the performance and accuracy of the algorithm for solving complex optimization and engineering problems. The proposed IGBO has the added features of adjusting the best solution by adding inertia weigh...
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01.02.2023
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| Abstract | In this paper, an improved gradient-based optimizer (IGBO) is proposed with the target of improving the performance and accuracy of the algorithm for solving complex optimization and engineering problems. The proposed IGBO has the added features of adjusting the best solution by adding inertia weight, fast convergence rate with modified parameters, as well as avoiding the local optima using a novel functional operator (G). These features make it feasible for solving the majority of the nonlinear optimization problems which is quite hard to achieve with the original version of GBO. The effectiveness and scalability of IGBO are evaluated using well-known benchmark functions. Moreover, the performance of the proposed algorithm is statistically analyzed using ANOVA analysis, and Holm–Bonferroni test. In addition, IGBO was assessed by solving well-known real-world problems. The results of benchmark functions show that the IGBO is very competitive, and superior compared to its competitors in finding the optimal solutions with high convergence and coverage. The results of the studied real optimization problems prove the superiority of the proposed algorithm in solving real optimization problems with difficult and indefinite search domains. |
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| AbstractList | In this paper, an improved gradient-based optimizer (IGBO) is proposed with the target of improving the performance and accuracy of the algorithm for solving complex optimization and engineering problems. The proposed IGBO has the added features of adjusting the best solution by adding inertia weight, fast convergence rate with modified parameters, as well as avoiding the local optima using a novel functional operator (G). These features make it feasible for solving the majority of the nonlinear optimization problems which is quite hard to achieve with the original version of GBO. The effectiveness and scalability of IGBO are evaluated using well-known benchmark functions. Moreover, the performance of the proposed algorithm is statistically analyzed using ANOVA analysis, and Holm–Bonferroni test. In addition, IGBO was assessed by solving well-known real-world problems. The results of benchmark functions show that the IGBO is very competitive, and superior compared to its competitors in finding the optimal solutions with high convergence and coverage. The results of the studied real optimization problems prove the superiority of the proposed algorithm in solving real optimization problems with difficult and indefinite search domains. |
| Audience | Academic |
| Author | Khalid, Saifulnizam Bin Abdul Altbawi, Saleh Masoud Abdallah Moin, Lubna Husain, Nusrat Yahya, Ashraf Alsisi, Rayan Hamza Mokhtar, Ahmad Safawi Bin Shareef, Hussain Haider, Syed Aqeel |
| Author_xml | – sequence: 1 givenname: Saleh Masoud Abdallah orcidid: 0000-0003-4656-5333 surname: Altbawi fullname: Altbawi, Saleh Masoud Abdallah – sequence: 2 givenname: Saifulnizam Bin Abdul orcidid: 0000-0002-8846-1842 surname: Khalid fullname: Khalid, Saifulnizam Bin Abdul – sequence: 3 givenname: Ahmad Safawi Bin surname: Mokhtar fullname: Mokhtar, Ahmad Safawi Bin – sequence: 4 givenname: Hussain orcidid: 0000-0001-7708-6904 surname: Shareef fullname: Shareef, Hussain – sequence: 5 givenname: Nusrat orcidid: 0000-0001-5095-8362 surname: Husain fullname: Husain, Nusrat – sequence: 6 givenname: Ashraf orcidid: 0000-0002-5449-8460 surname: Yahya fullname: Yahya, Ashraf – sequence: 7 givenname: Syed Aqeel orcidid: 0000-0002-3327-1988 surname: Haider fullname: Haider, Syed Aqeel – sequence: 8 givenname: Lubna orcidid: 0000-0003-4589-8769 surname: Moin fullname: Moin, Lubna – sequence: 9 givenname: Rayan Hamza orcidid: 0000-0003-3448-9425 surname: Alsisi fullname: Alsisi, Rayan Hamza |
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| Title | An Improved Gradient-Based Optimization Algorithm for Solving Complex Optimization Problems |
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