A novel switching local evolutionary PSO for quantitative analysis of lateral flow immunoassay

作者：

Highlights：

• We propose a particle swarm optimization based on a Markov chain and differential evolution.

• The algorithm is evaluated in a comprehensive way in terms of some well-defined criteria.

• SLEPSO algorithm is applied for quantification analysis of the lateral flow immunoassay system.

摘要

•We propose a particle swarm optimization based on a Markov chain and differential evolution.•The algorithm is evaluated in a comprehensive way in terms of some well-defined criteria.•SLEPSO algorithm is applied for quantification analysis of the lateral flow immunoassay system.

论文关键词：Lateral flow immunoassay,Particle swarm optimization,Differential evolution,Non-homogeneous Markov chain,Immunochromatographic strip

论文评审过程：Available online 4 September 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.08.069