Parameter Optimization for Biodegradable Polymer Degradation Equation Based on ACO Algorithm

Abstract

The generalization of biodegradable polymer degradation equation is determined by the equation parameters. An ACO (Ant Colony Optimization) algorithm is put forward in this paper to select the optimal parameters to avoid the imprecise and time consuming parameters selection from experience. The parameters optimization model is analyzed first and established based on the degradation equation. The optimization object is the difference of calculated values with the experimental values. ACO algorithm is applied to solve this optimization problem. The searching of the optimal parameters is converted to searching for the optimal point in the solution space. The optimization parameters are obtained and compared with the experimental values. The result of comparison proves that the optimization method is applicable for the parameter selection of biodegradable polymer degradation equations.