A system for optimization using Petri net and firing recommender and a method for implementation thereof

摘要

The present invention relates to an optimized system and the implemented method, specifically optimized to obtain a solution by using a fired like utilizing a learned pattern, or similar pattern by the Petri net and the machine learning system and It relates to its implementation. The invention and the problem situation when the problem state is given, by searching for similar problem situations for the given problem at the firing conditions like group database, similar to the unit for detecting the firing recommender set corresponding problem situation detector; Launch recommender to use the unit launched recommender set of recommendations whether to launch or launch transition information in a specific marking of a Petri net; And by driving the Petri net with an above firing recommendations, including a Petri net pool exchanger (solver) to obtain a solution to the given problem situations and problem state, the launch recommender database units launched for the simulated problem situations discloses an optimization system characterized in that a database group like, according to the present invention, in order to improve the problem in accordance with the manner conventional optimizer to solve the problem situation and problems with respect to the issue conditions for it, the operation of the Petri net learning by constituting the firing like and, by finding a solution to a given optimization problem by using this, have the effect of providing an optimized system and its implementation method, which can derive a solution of a good performance in real-time or short time. ;