A Study on Partners Selection in Food Traceability System: Perspective Based on Improved Constriction Factor Particle Swarm Optimization Algorithm
LI Qingguang, WU Linhai, QIN Yi  
Journal of Information Organization, Vol. 6, No. 3, 2016.
DOI: 
Link: http://www.dline.info/jio/fulltext/v6n3/jiov6n3_3.pdf
Abstract:
An improved Constriction Factor Particle Swarm Optimization (CFPSO) algorithm is proposed and used to solve the optimization problem through establishing multi-objective decision-making model, which is applied to choose the best coalition partners association in food traceability system. The results of simulation by standard CFPSO and improved CFPSO shows that: in comparison with those of the standard CFPSO, the improved CFPSO can be well used to find the decision of multi-objective decision-making model, and it avoids trapping into the local optimal solution prematurely, increases search speed and enlarges the probability of converging to a global optimal solution. Simulation by improved CFPSO is better to explain the running logic of traceability system in theory, and provide theoretical basis for executive decision making in food traceability system.