Fuzzified Simulated Evolution Algorithm for Multi-objective Optimization of Combinational Logic Circuits
نویسندگان
چکیده
In this paper, we employ fuzzified Simulated Evolution (SimE) Algorithm for combinational logic design. SimE algorithm consists of three steps: evaluation, selection and allocation. Multilevel Logic Based Goodness measure is designed to guide the selection and allocation operations of SimE. Area, power and delay are considered in the optimization of circuits. The performance of the proposed algorithm is evaluated using selected ISCAS’85 benchmark circuits. The results obtained are compared to those obtained using SIS.
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Fuzzified Simulated Evolution Algorithm for Combinational Digital Logic Design Targeting Multi-objective Optimization
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