Optimization of a mechanical design problem with the modified bacterial foraging algorithm
This paper presents the solution of a real-world constrained bi-objective mechanical design problem in presence of a dynamic constraint by using the Modified Bacterial Foraging Optimization Algorithm. This algorithm, originally designed to solve single-objective optimization problems, is adapted to...
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| Autores principales: | , , |
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| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
2011
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| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/18627 |
| Aporte de: |
| Sumario: | This paper presents the solution of a real-world constrained bi-objective mechanical design problem in presence of a dynamic constraint by using the Modified Bacterial Foraging Optimization Algorithm.
This algorithm, originally designed to solve single-objective optimization problems, is adapted to include in its processes Pareto dominance as selection criterion, an external archive for elitism, and crowding distance as a diversity mechanism. The results obtained are compared with those provided by two evolutionary algorithms. The bacterial-based approach is able to provide a highly competitive performance and the type of solutions found are more suitable, based on the opinion of the expert mechanical designer. |
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