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• W4324142445 abstract "Area optimization is one of the most important contents of circuits logic synthesis. The smaller area has stronger testability and lower cost. However, searching for a circuit with the smallest area in a large-scale space of polarity is a combinatorial optimization problem. The existing optimization approaches are inefficient and do not consider the time cost. In this paper, we propose a multi-strategy wolf pack algorithm (MWPA) to solve high-dimension combinatorial optimization problems. MWPA performs global search based on the proposed global exploration strategy, extends the search area based on the Levy flight strategy, and performs local search based on the proposed deep exploitation strategy. In addition, we propose a fast area optimization approach (FAOA) for fixed polarity Reed-Muller (FPRM) logic circuits based on MWPA, which searches the best polarity corresponding to a FPRM circuit. The experimental results confirm that FAOA is highly effective and can be used as a promising EDA tool." @default.
• W4324142445 created "2023-03-15" @default.
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• W4324142445 date "2023-03-14" @default.
• W4324142445 modified "2023-10-18" @default.
• W4324142445 title "Fast Area Optimization Approach for XNOR/OR-based Fixed Polarity Reed-Muller Logic Circuits Based on Multi-strategy Wolf Pack Algorithm" @default.
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• W4324142445 doi "https://doi.org/10.1145/3587818" @default.
• W4324142445 hasPublicationYear "2023" @default.
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