Scheduling Optimization of Automatic Biochemical Analyzer based on Particle Swarm Optimization

Abstract

Automatic biochemical immune analyzer is often used in clinical examination and diagnosis, and its efficiency is very important. At present, most automatic biochemical analyzers use fixed period algorithm for scheduling, which has long detection time, low efficiency and intermittency. In this paper, a scheduling method based on particle swarm optimization (PSO) algorithm is proposed. The algorithm adopts sequence coding method, and approximates the scheduling problem of automatic biochemical analyzer to ATSP, and establishes ATSP model suitable for the scheduling problem of fully automatic biochemical analyzer, so as to optimize the scheduling of automatic biochemical analyzer.