Research on clonal selection algorithm applied in parameters optimization of fuzzy Petri nets
Yue Xiaobo · Computer Engineering and Applications Journal · 2011
It is significant and being unsolved yet for building a Fuzzy Petri Net(FPN) to determine all parameters of fuzzy production rules.In this paper,Clonal Selection Algorithm(CSA) is originally introduced into the procedure of exploring parameters of FPN.An optimization algoritnm based on the techniques of multithreading is proposed.Realization of the algorithm hasn't depended on experiential data and requirements for primary input are not critical.Simulation experiment shows that the trained parameters gained from above CSA are highly accurate and the resultant FPN model possesses strong generalizing capability and self-adjusting purpose.