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EnglishRecently developed chaotic charged system search was combined to feasible-based method to solve constraint engineering optimization problems. Using chaotic maps into the CSS increases the global search mobility for a better global optimization. In the present method, an improved feasible-based method is utilized to handle the constraints. Some constraint design examples are tested using the new chaotic-based methods, and the results are compared to recognize the most efficient and powerful algorithm.
http://hdl.handle.net/11386/4117259| Titolo: | Chaotic Charged System Search with a Feasible-Based Method for Constraint Optimization Problems |
| Autori interni: | CATTANI, Carlo |
| Data di pubblicazione: | 2013 |
| Rivista: | MATHEMATICAL PROBLEMS IN ENGINEERING |
| Abstract: | Recently developed chaotic charged system search was combined to feasible-based method to solve constraint engineering optimization problems. Using chaotic maps into the CSS increases the global search mobility for a better global optimization. In the present method, an improved feasible-based method is utilized to handle the constraints. Some constraint design examples are tested using the new chaotic-based methods, and the results are compared to recognize the most efficient and powerful algorithm. |
| Handle: | http://hdl.handle.net/11386/4117259 |
| Appare nelle tipologie: | 1.1.1 Articolo su rivista con DOI |
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