Application of Continuous Space Ant Colony Algorithm to Proliferative Process Route Optimization

To solve the decision making problem of proliferative process routes for a rapid process proliferation system,a optimization model for proliferative process routes is established.Taking time and cost as constraints,this model considers the characteristic of single proliferative process in rapid process proliferation system.An improved continuous space ant colony algorithm is constructed.To speed up the convergence,a local updating method for the minimal ant route is proposed in this algorithm,which can solve the problem of optimizing proliferative process routes quickly.A proliferative process route is taken as an example to validate that the method is practical.