An optimal design of current conveyors using a hybrid-based metaheuristic algorithm

<span lang="EN-US">This paper focuses on the optimal sizing of a positive second-generation current conveyor (CCII+), employing hybrid algorithm named DE-ACO, which is derived from combination differential evolution (DE) and ant colony optimization (ACO) algorithms. The basic idea this hybridization to apply DE for ACO algorithm’s initialization stage. Benchmark test functions were used evaluate proposed performance regarding quality solution, robustness, computation time. Furthermore, DE-ACO has been applied optimize CCII+ performances. SPICE simulation utilized validate achieved results, comparison with standard algorithms reported. results highlight that outperforms both DE.</span>