Apply a novel evolutionary algorithm to the solution of parameter selection problems

作者：Sun Daim Yuang^*; Ni Sheng Chung; Huang Tzu Chen

来源：Applied Mathematics and Computation, 2010, 216(11): 3343-3354.

DOI：10.1016/j.amc.2010.04.062

• Parameter selection
• Control parametrization
• Nonlinear programming
• Evolutionary algorithms
• Line-up competition algorithm

In this study, a modified line-up competition algorithm (LCA) is used to solve parameter selection problems. The so-called parameter selection problems contain parameter identification problems and optimal control problems. Once the later problems are transformed by control parametrization, the parameters embedded in both problems are selected by the proposed method under the framework of integration approach. Two parameter identification problems and one optimal control problem are given to demonstrate the use of LCA. The results show that in addition to being insensitive to the initial conditions, LCA is very efficient in solving highly nonlinear parameter selection problems.

• 出版日期2010-8-1