An efficient optimization algorithm for multi-output MPRM circuits with very large number of input variables

By incorporating cube transformation and local transformation, a heuristic algorithm is proposed for MPRM (mixed-polarity Reed-Muller) logic optimization. The proposed algorithm can be applied to multi-output circuits with very large number of input variables, and can adaptively decide to use cube transformation or local transformation during the optimization process. The proposed algorithm is implemented in C language and tested by using several MCNC and IWLS´93 benchmark circuits with many input and output variables. Experimental results show that, in comparison with other algorithms, the proposed algorithm can obtain good optimized results and can significantly improve the time efficiency of MPRM optimization.