PBI-BFS-MaOA: A Many-Objective Evolutionary Algorithm with PBI-Based Boundary-Front Selection
Reference-guided many-objective evolutionary al-gorithms often lose selection pressure when Pareto dominance becomes scarce and the final accepted front must be truncated. We propose PBI-BFS-MaOA, a many-objective evolutionary algorithm that preserves Pareto ranking for feasible solutions and modifi...
محفوظ في:
| الحاوية / القاعدة: | Latin-American Journal of Computing (LAJC) |
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| المؤلفون الرئيسيون: | , |
| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
Escuela Politécnica Nacional
2026
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://www.redalyc.org/articulo.oa?id=823985609004 https://www.redalyc.org/journal/8239/823985609004/ https://www.redalyc.org/journal/8239/823985609004/html/ https://www.redalyc.org/journal/8239/823985609004/823985609004.epub https://www.redalyc.org/journal/8239/823985609004/movil |
| الوسوم: |
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