具有类比学习机制的优化排料系统
A SYSTEM OF OPTIMIZING NESTING WITH ANALOGICAL LEARNING MECHANISM
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摘要: 一个具有类比学习机制的二维图形优化排料系统首先将不规则图形的排料问题转化为矩形件的排料问题;然后利用启发式搜索方法,求得较优解。系统问题求解中引入了类比学习机制,因而系统可以随着排料次数的增加,使所需排料时间逐渐减少。Abstract: 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.
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