Efficient Combinational Circuits Design through Fuzzified Ant Colony Optimization Algorithm
نویسندگان
چکیده
With the increasing demand for high quality, more efficient and less area circuits, the problem of logic circuit design has become a multiobjective optimization problem. In this paper, a multiobjective optimization of logic circuits based on a fuzzified Ant Colony (ACO) algorithm is presented. The results obtained using the proposed algorithm are compared to those obtained using SIS in terms of area, delay and power. It is shown that the circuits produced by the proposed algorithm are better as compared to those obtained by SIS.
منابع مشابه
Combinational Logic Circuits Design through Ant Colony Optimization Algorithm
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تاریخ انتشار 2008