Study on multidisciplinary collaborative decision based on constraint net and game theory

摘要

In multidisciplinary collaborative, Sometimes one variable may be shared by several constraints subject to different disciplinary, or one constraint includes several variables subject to different disciplinary. Using non-cooperative game theory to model the relationship between design teams can effectively achieve decoupling of constraints. In view of this, we present a robust collaborative approach which adopts interval to describe the uncertainty of decision variables and considers the Rational Reaction Sets (RRS) from non-cooperation game theory as design constraint in the decision space. Therefore multidisciplinary collaborative decision is described as an interval based constraint solving problem and a two-step solving approach was developed to obtain final robust decision scheme. A new kind of feasibility censor based immune chaotic algorithm for model solving was designed. Finally, a single disk elastic rotor system is used as example to validate the effectiveness and reliability of proposed decision approach.