1. Standing wave optimization of SMB using a hybrid simulated annealing and genetic algorithm (SAGA).
- Author
-
Fattaneh Cauley, Stephen Cauley, and Nien-Hwa Wang
- Subjects
- *
WAVE equation , *SIMULATED annealing , *GENETIC algorithms , *STOCHASTIC analysis , *MATHEMATICAL programming , *NONLINEAR programming - Abstract
Abstract  In this paper we draw on two stochastic optimization techniques, Simulated Annealing and Genetic Algorithm (SAGA), to create a hybrid to determine the optimal design of nonlinear Simulated Moving Bed (SMB) systems. A mathematical programming model based on the Standing Wave Design (SWD) offers a significant advantage in optimizing SMB systems. SAGA builds upon the strength of SA and GA to optimize the 16 variables of the mixed-integer nonlinear programming model for single- and multi-objective optimizations. The SAGA procedure is shown to be robust with computational time in minutes for single-objective optimization and in a few hours for a multi-objective optimization, which is comprised of more than one hundred points. [ABSTRACT FROM AUTHOR]
- Published
- 2008
- Full Text
- View/download PDF