Polarity Search of Ternary FPRM Circuit Based on DMMA Algorithm

Through studying the Ternary FPRM expression and polarity conversion algorithm, combining with the mayfly optimization algorithm, this paper proposes a decomposition-based multi-objective mayfly optimization (Multi objective mayfly optimization algorithm based on decomposition, DMMA) algorithm solution. The DMMA algorithm decomposes the target space into multiple uniform subspaces, and each subspace independently retains a Pareto solution so as to improve the distribution of the population on the Pareto front; using the Chebyshev decomposition method, the optimal solution of the sub-problem is taken as the direction of population evolution so as to expand the search range of the population. On this basis, Ternary FPRM polarity conversion technology and DMMA algorithm are combined to search for the optimal polarity of the circuit. By testing 10 Benchmark reference circuits, and comparing the performance of DMMA algorithm with MODPSO and MODCPSO algorithms, it is effectively proved that DMMA algorithm has advantages in searching the optimal polarity of Ternary FPRM circuits.