Study on solving problems of multi-constraint optimization based on KS function

Aimed at the common problems of multi-constraint optimization in optimal design of machinery,a new kind of solving method was presented.Utilizing the agglomeration features of KS function,the total or partial constraints of optimization problems were agglomerated to an approximate and draw near precision,a constraint to be controlled by one parameter only.And then choose proper constraint optimization method to solve the optimal problem after the compression of constraints.The geometric explaination of constraints agglomeration was presented by an example of feasible region figure in three dimensional space.