Low Noise Amplifier Design via Hybrid DE-ACO Optimization Algorithm

Abstract

This paper presents a hybrid algorithm named (DE-ACO) which is combining two well-known nature-inspired algorithms namely Ant Colony Optimization (ACO) and Differential Evolution (DE). The main idea of this hybridization is to improve the performance of the ACO algorithm, it consists to use the DE algorithm to explore the promising search space in order to exploit the best solutions by the ACO algorithm to achieve the optimal solution. The performance of the proposed technique is firstly, evaluated over some test functions, and secondly, employed to optimize the parameters of Low Noise Amplifier (LNA) circuit. The simulation using Advanced Design System (ADS) are given to highlight the validity of this proposed method.