The Crossover strategy integrated Secretary Bird Optimization Algorithm and its application in engineering design problems
An improved metaheuristic algorithm called the Crossover strategy integrated Secretary Bird Optimization Algorithm (CSBOA) is proposed in this work for solving real optimization problems. This improved algorithm integrated logistic-tent chaotic mapping initialization, an improved differential mutati...
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AIMS Press
2025-01-01
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| Series: | Electronic Research Archive |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/era.2025023 |
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| author | Xiongfa Mai Yan Zhong Ling Li |
| author_facet | Xiongfa Mai Yan Zhong Ling Li |
| author_sort | Xiongfa Mai |
| collection | DOAJ |
| description | An improved metaheuristic algorithm called the Crossover strategy integrated Secretary Bird Optimization Algorithm (CSBOA) is proposed in this work for solving real optimization problems. This improved algorithm integrated logistic-tent chaotic mapping initialization, an improved differential mutation operator, and crossover strategies with the Secretary Bird Optimization Algorithm (SBOA) for a better quality solution and faster convergence. To evaluate the performance of CSBOA, two sets of a standard benchmark set, CEC2017 and CEC2022, were applied first. The Wilcoxon rank sum test and Friedman test were also used to statistically compare the proposed CSBOA algorithm with seven common metaheuristics. The comparisons demonstrated that CSBOA is more competitive than other metaheuristic algorithms on most benchmark functions. Additionally, the performance of CSBOA was validated for two challenging engineering design case studies. Comparative results showed that CSBOA provides more accurate solutions than the SBOA and the other seven algorithms, suggesting viability in dealing with real global optimization problems. |
| format | Article |
| id | doaj-art-07a77b5fff634b29bacb18340097561c |
| institution | DOAJ |
| issn | 2688-1594 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Electronic Research Archive |
| spelling | doaj-art-07a77b5fff634b29bacb18340097561c2025-08-20T03:17:09ZengAIMS PressElectronic Research Archive2688-15942025-01-0133147151210.3934/era.2025023The Crossover strategy integrated Secretary Bird Optimization Algorithm and its application in engineering design problemsXiongfa Mai0Yan Zhong1Ling Li2Center for Applied Mathematics of Guangxi, Nanning Normal University, Nanning 530100, ChinaCenter for Applied Mathematics of Guangxi, Nanning Normal University, Nanning 530100, ChinaKey Laboratory of Environment Change and Resources Use in Beibu Gulf (Ministry of Education), Nanning Normal University, Nanning 530100, ChinaAn improved metaheuristic algorithm called the Crossover strategy integrated Secretary Bird Optimization Algorithm (CSBOA) is proposed in this work for solving real optimization problems. This improved algorithm integrated logistic-tent chaotic mapping initialization, an improved differential mutation operator, and crossover strategies with the Secretary Bird Optimization Algorithm (SBOA) for a better quality solution and faster convergence. To evaluate the performance of CSBOA, two sets of a standard benchmark set, CEC2017 and CEC2022, were applied first. The Wilcoxon rank sum test and Friedman test were also used to statistically compare the proposed CSBOA algorithm with seven common metaheuristics. The comparisons demonstrated that CSBOA is more competitive than other metaheuristic algorithms on most benchmark functions. Additionally, the performance of CSBOA was validated for two challenging engineering design case studies. Comparative results showed that CSBOA provides more accurate solutions than the SBOA and the other seven algorithms, suggesting viability in dealing with real global optimization problems.https://www.aimspress.com/article/doi/10.3934/era.2025023secretary bird optimization algorithmlogistic-tent chaotic mappingimproved differential mutation operatorcrossover strategiesengineering design problems |
| spellingShingle | Xiongfa Mai Yan Zhong Ling Li The Crossover strategy integrated Secretary Bird Optimization Algorithm and its application in engineering design problems Electronic Research Archive secretary bird optimization algorithm logistic-tent chaotic mapping improved differential mutation operator crossover strategies engineering design problems |
| title | The Crossover strategy integrated Secretary Bird Optimization Algorithm and its application in engineering design problems |
| title_full | The Crossover strategy integrated Secretary Bird Optimization Algorithm and its application in engineering design problems |
| title_fullStr | The Crossover strategy integrated Secretary Bird Optimization Algorithm and its application in engineering design problems |
| title_full_unstemmed | The Crossover strategy integrated Secretary Bird Optimization Algorithm and its application in engineering design problems |
| title_short | The Crossover strategy integrated Secretary Bird Optimization Algorithm and its application in engineering design problems |
| title_sort | crossover strategy integrated secretary bird optimization algorithm and its application in engineering design problems |
| topic | secretary bird optimization algorithm logistic-tent chaotic mapping improved differential mutation operator crossover strategies engineering design problems |
| url | https://www.aimspress.com/article/doi/10.3934/era.2025023 |
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