A Novel Co-Evolutionary Multi-Objective Optimization Algorithm
To improve the search efficiency of optimization algorithms and solve issues related to local search, this paper proposes a novel cooperative co-evolutionary multi-objective algorithm. Firstly, the estimation of distribution algorithm is used to accelerate the convergence rate to get the optimal so...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Control and Information Technology
2025-06-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2025.03.004 |
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| _version_ | 1849224695156572160 |
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| author | ZHU Haifeng |
| author_facet | ZHU Haifeng |
| author_sort | ZHU Haifeng |
| collection | DOAJ |
| description | To improve the search efficiency of optimization algorithms and solve issues related to local search, this paper proposes a novel cooperative co-evolutionary multi-objective algorithm. Firstly, the estimation of distribution algorithm is used to accelerate the convergence rate to get the optimal solution, and a "fundamental change" strategy is adopted to improve cooperation between individuals and the evolution of the population, enhancing the global and local search capabilities of the algorithm. Secondly, a straightforward elite-based parent population generation strategy is adopted, which greatly reduces the consumption of computing resources. Through simulation experiments, the results showed that the proposed algorithm improved convergence and distribution indicators by at least 84% and 76% respectively compared to NSGA-II, a classic multi-objective evolutionary algorithm, underscoring its superior search performance. |
| format | Article |
| id | doaj-art-ff94e4d25b5846feb4ccd1e15f4ace12 |
| institution | Kabale University |
| issn | 2096-5427 |
| language | zho |
| publishDate | 2025-06-01 |
| publisher | Editorial Office of Control and Information Technology |
| record_format | Article |
| series | Kongzhi Yu Xinxi Jishu |
| spelling | doaj-art-ff94e4d25b5846feb4ccd1e15f4ace122025-08-25T06:57:43ZzhoEditorial Office of Control and Information TechnologyKongzhi Yu Xinxi Jishu2096-54272025-06-013338117840779A Novel Co-Evolutionary Multi-Objective Optimization AlgorithmZHU HaifengTo improve the search efficiency of optimization algorithms and solve issues related to local search, this paper proposes a novel cooperative co-evolutionary multi-objective algorithm. Firstly, the estimation of distribution algorithm is used to accelerate the convergence rate to get the optimal solution, and a "fundamental change" strategy is adopted to improve cooperation between individuals and the evolution of the population, enhancing the global and local search capabilities of the algorithm. Secondly, a straightforward elite-based parent population generation strategy is adopted, which greatly reduces the consumption of computing resources. Through simulation experiments, the results showed that the proposed algorithm improved convergence and distribution indicators by at least 84% and 76% respectively compared to NSGA-II, a classic multi-objective evolutionary algorithm, underscoring its superior search performance.http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2025.03.004multi-objective optimizationco-evolutionaryestimation of distribution algorithm"fundamental change" strategy |
| spellingShingle | ZHU Haifeng A Novel Co-Evolutionary Multi-Objective Optimization Algorithm Kongzhi Yu Xinxi Jishu multi-objective optimization co-evolutionary estimation of distribution algorithm "fundamental change" strategy |
| title | A Novel Co-Evolutionary Multi-Objective Optimization Algorithm |
| title_full | A Novel Co-Evolutionary Multi-Objective Optimization Algorithm |
| title_fullStr | A Novel Co-Evolutionary Multi-Objective Optimization Algorithm |
| title_full_unstemmed | A Novel Co-Evolutionary Multi-Objective Optimization Algorithm |
| title_short | A Novel Co-Evolutionary Multi-Objective Optimization Algorithm |
| title_sort | novel co evolutionary multi objective optimization algorithm |
| topic | multi-objective optimization co-evolutionary estimation of distribution algorithm "fundamental change" strategy |
| url | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2025.03.004 |
| work_keys_str_mv | AT zhuhaifeng anovelcoevolutionarymultiobjectiveoptimizationalgorithm AT zhuhaifeng novelcoevolutionarymultiobjectiveoptimizationalgorithm |