Multi-constrained Polarity Optimization of Large-scale FPRM Circuits Based on Multi-objective Discrete Particle Swarm Optimization
FU Qiang①② WANG Pengjun① TONG Nan② WANG Mingbo① ZHANG Huihong①
①(Institute of Circuits and Systems, Ningbo University, Ningbo 315211, China) ②(College of Science and Technology, Ningbo University, Ningbo 315212, China)
For multi-constrained polarity optimization of large-scale FPRM circuits, a Multi-Objective Discrete Particle Swarm Optimization (MODPSO) algorithm is proposed. Firstly, the multi-objective decision model is established according to the delay-area trade-off of large-scale FPRM circuits. Secondly, combined with tabular technique and MODPSO, the best polarities of delay and area are searched for large-scale FPRM circuits, to obtain the Pareto optimal set for delay and area. Finally, the algorithm MODPSO is compared with the algorithm DPSO and NSGA-II on MCNC Benchmarks with PLA format, and the results verify the effectiveness of the MODPSO.
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