This letter introduces a novel, fast, efficient and global optimization algorithm called hybrid invasive weed optimization and wind driven optimization (IWO/WDO). The proposed algorithm is implemented to synthesize the uniformly excited ( ) linear sparse array pattern having a minimum side lobe level (SLL), and null control with constraint on beam width to minimize the interference effect by optimizing the element position-only. Three examples of (N=10, 28, and 32) element linear array synthesis are considered to illustrate the efficacy of the proposed algorithm. The results are compared with those obtained by IWO, WDO, PSO, CLPSO, DE and BBO algorithms. Simulation studies demonstrate that this algorithm achieves minimum SLL of -23.5 dB, -13.22 dB, and -19.7 dB as compared to -17.35 dB, -10.5 dB and -15.70 dB obtained by the IWO algorithm for 10, 28, and 32 elements array respectively. Also, it yields a null depth level (NDL) larger than -84.5 dB in all cases. The learning characteristics show a faster convergence at around 100 iterations. The simulation results demonstrate the improved performance of hybrid IWO/WDO algorithm compared to other six algorithms in terms of null control, minimum SLL, beam width control and the rate of convergence. Index Terms-Array pattern synthesis, linear array, invasive weed optimization (IWO), wind driven optimization (WDO), electromagnetic interference, hybrid IWO/WDO.