A Novel Center of Mass Optimization (CMO) Algorithm for Truss Design Problems
This paper introduces a novel optimization algorithm rooted in the mass center equations of particle systems. The proposed Center of Mass Optimization (CMO) algorithm is distinguished by its easy implementation, parameter independence, and rapid, accurate solutions. In the proposed CMO, a random wal...
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| Format: | Article |
| Language: | English |
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Pouyan Press
2024-04-01
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| Series: | Journal of Soft Computing in Civil Engineering |
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| Online Access: | https://www.jsoftcivil.com/article_196429_a71ca3885615fd9930c2b5a0f83dbf3f.pdf |
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| _version_ | 1850176078303199232 |
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| author | Hesam Varaee |
| author_facet | Hesam Varaee |
| author_sort | Hesam Varaee |
| collection | DOAJ |
| description | This paper introduces a novel optimization algorithm rooted in the mass center equations of particle systems. The proposed Center of Mass Optimization (CMO) algorithm is distinguished by its easy implementation, parameter independence, and rapid, accurate solutions. In the proposed CMO, a random walk operator is introduced to enhance the exploitation capability of the CMO and help the search agents jump out of the local optimal. Mutation and elitism selection operators are also used to boost the overall performance of the proposed algorithm. Some mathematical benchmark optimization problems and two engineering truss optimization examples are investigated to evaluate the performance of the proposed method. The results are compared with those of well-known optimization algorithms such as DE, ABC, CBO, PSO, EO, LHHA, and SMA. The results of Wilcoxon rank-sum and ANOVA tests indicate that the performance of the proposed algorithm is robust and reliable for a wide range of complex mathematical and engineering optimization problems. |
| format | Article |
| id | doaj-art-c83b24ab85d147c5a7f738e5c22e2f63 |
| institution | OA Journals |
| issn | 2588-2872 |
| language | English |
| publishDate | 2024-04-01 |
| publisher | Pouyan Press |
| record_format | Article |
| series | Journal of Soft Computing in Civil Engineering |
| spelling | doaj-art-c83b24ab85d147c5a7f738e5c22e2f632025-08-20T02:19:19ZengPouyan PressJournal of Soft Computing in Civil Engineering2588-28722024-04-018211914210.22115/scce.2023.398542.1649196429A Novel Center of Mass Optimization (CMO) Algorithm for Truss Design ProblemsHesam Varaee0Assistant Professor, Department of Engineering, Ale Taha Institute of Higher Education, Tehran, IranThis paper introduces a novel optimization algorithm rooted in the mass center equations of particle systems. The proposed Center of Mass Optimization (CMO) algorithm is distinguished by its easy implementation, parameter independence, and rapid, accurate solutions. In the proposed CMO, a random walk operator is introduced to enhance the exploitation capability of the CMO and help the search agents jump out of the local optimal. Mutation and elitism selection operators are also used to boost the overall performance of the proposed algorithm. Some mathematical benchmark optimization problems and two engineering truss optimization examples are investigated to evaluate the performance of the proposed method. The results are compared with those of well-known optimization algorithms such as DE, ABC, CBO, PSO, EO, LHHA, and SMA. The results of Wilcoxon rank-sum and ANOVA tests indicate that the performance of the proposed algorithm is robust and reliable for a wide range of complex mathematical and engineering optimization problems.https://www.jsoftcivil.com/article_196429_a71ca3885615fd9930c2b5a0f83dbf3f.pdfcenter of masspopulation-based algorithmsmathematical and engineering optimization problemswilcoxon rank-sum testanova test |
| spellingShingle | Hesam Varaee A Novel Center of Mass Optimization (CMO) Algorithm for Truss Design Problems Journal of Soft Computing in Civil Engineering center of mass population-based algorithms mathematical and engineering optimization problems wilcoxon rank-sum test anova test |
| title | A Novel Center of Mass Optimization (CMO) Algorithm for Truss Design Problems |
| title_full | A Novel Center of Mass Optimization (CMO) Algorithm for Truss Design Problems |
| title_fullStr | A Novel Center of Mass Optimization (CMO) Algorithm for Truss Design Problems |
| title_full_unstemmed | A Novel Center of Mass Optimization (CMO) Algorithm for Truss Design Problems |
| title_short | A Novel Center of Mass Optimization (CMO) Algorithm for Truss Design Problems |
| title_sort | novel center of mass optimization cmo algorithm for truss design problems |
| topic | center of mass population-based algorithms mathematical and engineering optimization problems wilcoxon rank-sum test anova test |
| url | https://www.jsoftcivil.com/article_196429_a71ca3885615fd9930c2b5a0f83dbf3f.pdf |
| work_keys_str_mv | AT hesamvaraee anovelcenterofmassoptimizationcmoalgorithmfortrussdesignproblems AT hesamvaraee novelcenterofmassoptimizationcmoalgorithmfortrussdesignproblems |