Paper Info
Title
Regularization Cuckoo Search Algorithm for Multi-Parameter Optimization of the Multi-Laminated Controlled Release System
Abstract
The multi-laminated controlled release system has been widely used in the modern pharmaceutical industry because of its simple structure and safety, which can control the drug release behavior by regulating its internal parameters. To achieve three desired drug release behaviors of constant rate, linear reduction, and nonlinearity, which can be controlled by the optimization of the controllable parameters in the controlled release system, such as initial concentration and diffusion coefficient, a new regularization cuckoo search algorithm based on the cuckoo search algorithm and Tikhonov regularization method is proposed. The numerical examples confirm the stability, effectiveness, and feasibility of the proposed method. The effect of the number of model layers on the optimization results is also analyzed.
Year
DOI
Venue
2022
10.3390/axioms11100500
AXIOMS
Keywords
DocType
Volume
multi-laminated drug-controlled release system, regularization cuckoo search algorithm, multi-parameter optimization
Journal
11
Issue
Citations 
PageRank 
10
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Xinming Zhang117921.95
Yi Li25013.29
You-Hua Fan321.84