“…For instance, H. Mosallaei employed genetic algorithm (GA) to control the gain and SLL envelope for a 5-layer 30λ diameter LLA, which offers gain of 37.47 dBi (η ap = 63%) with −17.5 dB SLL, yet the optimal solution is largely dependent on the values of the weights specified [16]. Moreover, most of the previous works usually design LLA by using single-objective optimization techniques, such as GA [16], particle swarm optimization (PSO) algorithm [17], differential evolution (DE) algorithm [18,19], or minmax optimization (MO) algorithm [20], where all the objectives were combined into a single fitness function by adding different weighting factors to different objectives and the selection of the weighting factors depends highly on the rule of thumb. LLAs reported so far are rarely dealt with multiobjective optimization algorithm.…”