Optimization of Multiple-Valued Logic by Two-Valued Logic

An approach for optimizing multiple-valued logic by using optimization software OPLG (Optimization on Logic Program) of two-valued multiple-output logic is presented. By describing binary system vector with multiple-variable and multiple-function, we replace the multiple-valued cubes by Boolean expression products and introduce a method for calculating basic don't-care set from the multi-valued min-i term of multiple-valued cube. Finally, the output of OPLG (the sum of maximum allowable variables for input and output is 300) is converted back to the multi-valued cube form.