CAJ | 학술논문

具有良好非周期自相关特性二元序列在通信同步、雷达等领域具有广泛的应用。通过对遗传算法、粒子群算法与量子粒子群算法三种进化算法进行对比分析，设计了具有良好非周期自相关特性的二元序列的搜索算法。研究结果表明，粒子群算法的搜索能力优于遗传算法，而量子粒子群算法具有参数少，易于控制的优点，取得了较好的优化结果。
구유량호비주기자상관특성이원서렬재통신동보、뢰체등영역구유엄범적응용。통과대유전산법、입자군산법여양자입자군산법삼충진화산법진행대비분석，설계료구유량호비주기자상관특성적이원서렬적수색산법。연구결과표명，입자군산법적수색능력우우유전산법，이양자입자군산법구유삼수소，역우공제적우점，취득료교호적우화결과。
Binary sequences with good aperiodic autocorrelation features are widely used in the field of radar, communication synchronization. Genetic algorithm, particle swarm optimization and quantum particle swarm optimization algorithm are compared and analyzed in this paper. The new search algorithm of binary sequences with good aperiodic autocorrelation properties are designed based on three evolutionary algorithms. Research results show that the search ability of particle swarm algorithm is better than genetic algorithm. Quantum particle swarm optimization algorithm has less parameters, easy to control, and the better good optimization results were obtained.