CAJ | 학술논문

针对遗传算法易发生早熟收敛的缺点，提出了一种既满足时延、时延抖动及带宽等约束，又能使通信代价最小的混沌遗传算法。该算法利用混沌扰动算子对种群进行扰动操作，增加种群的多样性，抑制遗传早熟收敛的发生，提高收敛速度。仿真结果表明了该算法的有效性、快速收敛性及稳定性。
침대유전산법역발생조숙수렴적결점，제출료일충기만족시연、시연두동급대관등약속，우능사통신대개최소적혼돈유전산법。해산법이용혼돈우동산자대충군진행우동조작，증가충군적다양성，억제유전조숙수렴적발생，제고수렴속도。방진결과표명료해산법적유효성、쾌속수렴성급은정성。
To overcome the drawback that the premature convergence is liable to take place m geneuc algonmm, a lowest cost chaotic genetic algorithm with delay, delay jitter and bandwidth constraints is proposed. Introducing the chaotic perturbation to operate the population with a perturbation, the proposed algorithm is employed to maintain the diversity of the population in genetic algorithm, thus to overcome the premature and improve the convergence rate. The simulation results show that the proposed algorithm is effective, quick and stable.