RT Journal Article
T1 Semi-deterministic and genetic algorithms for global optimization of microfluidic protein folding devices
A1 Ivorra, Benjamín Pierre Paul
A1 Hertzog, David E.
A1 Mohammadi, Bijan
A1 Santiago, Juan G.
AB In this paper we reformulate global optimization problems in terms of boundary value problems (BVP). This allows us to introduce a new class of optimization algorithms. Indeed, current optimization methods, including non-deterministic ones, can be seen as discretizations of initial value problems for differential equations, or systems of differential equations. Furthermore, in order to reduce computational time approximate state and sensitivity evaluations are introduced during optimization. Lastly, we demonstrated the efficacy of two algorithms, included in the former class, on two academic test cases and on the design of a fast microfluidic protein folding device. The aim of the latter design is to reduce mixing times of proteins to microsecond timescales. Results are compared with those obtained with a classical genetic algorithm.
PB Wiley
SN 1097-0207
YR 2006
FD 2006-04-09
LK https://hdl.handle.net/20.500.14352/51336
UL https://hdl.handle.net/20.500.14352/51336
LA eng
DS Docta Complutense
RD 11 abr 2025