A SYSTEM OF OPTIMIZING NESTING WITH ANALOGICAL LEARNING MECHANISM

This paper introduces a system of optimizing nesting with analogical learning mechanism.First of all,the irregular graphs are processed in advance and the problem is transformed to the solution of the rectangular stock allocation problem.Then the relative optimal solution is obtained by using heuristic search.In the solution of the system,analogical learning mechanism is used.Therefore,the cost of nesting is gradually decreased with the increasing of nesting times.