Sizing of an inverted current conveyors by an enhanced ant colony optimization technique

Ant Colony Optimization (ACO) technique is more and more used by engineers and designers in order to optimally size their circuits/systems' performances. Despite the fact that ACO is robust and has a good intrinsic intensive research strategy, it suffers from its greedy requirement in computation time. In order to overcome this drawback, the BAcktracking Ant Colony Optimization (BA-ACO) has been successfully introduced to provide an adequate improvement to the ACO technique by integrating in this algorithm a backtracking search technique, thus reducing the computation time and substantially enhancing the convergence. Details of the BA-ACO algorithm are given in the following. An application to the optimal sizing of CMOS inverted second generation current conveyors (ICCII) is presented, and comparison results with published works are highlighted. SPICE simulation results are given to show the viability of the proposed algorithm.