Low-Cost Optimization for Fast-Microfluidic-Mixer Shape Design
We give an unified formulation for deterministic and stochastic global optimization algorithms via initial and boundary value problems for different first and second order dynamic systems. The ensemble is applied to the design of a fast-micro-mixer. The aim is to optimize a given mixer shape in orde...
| Autores: | , |
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| Formato: | artículo |
| Fecha de publicación: | 2005 |
| País: | España |
| Recursos: | Universidad Complutense de Madrid (UCM) |
| Repositorio: | Docta Complutense |
| Idioma: | inglés |
| OAI Identifier: | oai:docta.ucm.es:20.500.14352/51416 |
| Acesso em linha: | https://hdl.handle.net/20.500.14352/51416 |
| Access Level: | acceso abierto |
| Palavra-chave: | 519.8:532 Shape optimization Global optimization Dynamical systems Boundary value problem Microfluidic mixers. Hidrodinámica Investigación operativa (Matemáticas) 3301.12 Hidrodinámica 1207 Investigación Operativa |
| Resumo: | We give an unified formulation for deterministic and stochastic global optimization algorithms via initial and boundary value problems for different first and second order dynamic systems. The ensemble is applied to the design of a fast-micro-mixer. The aim is to optimize a given mixer shape in order to reduce its mixing time. The algorithms are compared from their complexity and optimization efficiency. In order to reduce computational time approximate state and sensitivity evaluations are introduced during optimization |
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