Interference waveform decision-making based on the traditional Discrete Artificial Bee Colony (DABC) algorithm needs to iterate many times and its optimization probability is low.To solve the problem,a method for interference waveform decision-making based on optimal difference oriented chaotic multi-dimensional DABC algorithm is proposed.The method introduces optimal difference matrix to update nectar source,uses multi-dimensional search and greedy selection to determine the update dimension,and introduces Tent chaotic sequence to initialize the population,so as to solve the interference waveform decision model.The simulation results show that,compared with the traditional DABC algorithm and Genetic Algorithm (GA),the improved algorithm requires fewer times of iteration with higher optimization probability when making interference waveform decisions.The method can improve the performance of interference waveform decision-making system with certain universality.