RT Journal Article
T1 Low-Cost Optimization for Fast-Microfluidic-Mixer Shape Design
A1 Ivorra, Benjamín Pierre Paul
A1 Mohammadi, Bijan
AB 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
YR 2005
FD 2005
LK https://hdl.handle.net/20.500.14352/51416
UL https://hdl.handle.net/20.500.14352/51416
LA eng
NO National University of Singapore. Institute for Mathematical Sciences
DS Docta Complutense
RD 11 abr 2025