A modified Invasive Weed Optimization algorithm for time-modulated linear antenna array synthesis

: Time modulated antenna arrays attracted the attention of researchers for the synthesis of low/ultra-low side lobes in recent past. In this article we propose an improved variant of a recently developed ecologically inspired metaheuristic, wellknown as Invasive Weed Optimization (IWO), to solve the real parameter optimization problem related to the design of timemodulated linear antenna arrays with ultra low Side Lobe Level (SLL), Side Band Level (SBL) and Main Lobe Beam Width (BWFN). We improvise the classical IWO by introducing two parallel populations and a more explorative routine of changing the mutation step-size with iterations. Experimental results indicate that the proposed algorithm achieves better performance over the design problem as compared to the conventional Taylor Series based method and the only known metaheuristic approach based on the Differential Evolution (DE) algorithm.

• Type: Conference
• Year: 2010
• Where: CEC
• Authors: Aniruddha Basak, Siddharth Pal, Swagatam Das, Ajith Abraham, Václav Snásel
• Keywords: Antenna Arrays, Artificial Intelligence, CEC 2010, Linear Antenna Arrays, Side Lobe Level