Maximum entropy object grouping algorithm based on dissipative structure theory
Li Yun · Systems Engineering - Theory & Practice · 2012
To group battle object rapidly and exactly,consider battle situation as a dynamic open system in terms of information exchange and with the dissipative structure theory,in which ordered status could appear.On these grounds,established the OG-Brusselator mode for battle object grouping and improved the algorithm MEC,then proposed the concept of fairway lengthways-cut based on the fairway crosscut to unify dimensions of two elements:the distance between objects and their direction of movement,and set them together with the memberships of object to grouping center as the measurable positive and negative entropy indicators respectively that affecting the clarity of relationship between object and group, then proposed object grouping algorithm DS-MEOC using OG-Brusselator to control the iteration.The experiment and analysis of air targets grouping proved that DS-MEOC is effective,feasible and could provide more reasonable object grouping program as compared with MEC.