Combinational Logic Circuits Design through Ant Colony Optimization Algorithm

With the increasing demand for high quality, more efficient and less area circuits, the problem of circuit design has become a multi-objective optimization problem. Therefore, there should evolve new methodologies for designing logic circuits. The new paradigm is expected to radically change the synthesis procedures in a way that can help discovering novel designs and/or more efficient circuits. In this paper, a multiobjective optimization of logic circuits based on a modified 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.