【摘要】 该文将遗传算法和牛顿算法相结合,提出一种非线性智能集成算法解决信息网络拥塞问题,弥补了牛顿算法求率低、可靠性差以及遗传算法收敛速度慢的缺陷。用于网络拥塞控制的仿真结果表明,该算法能够高速可靠地拥塞模型的全局解,能有效解决网络拥塞问题,并使信元丢失率保持在CCITT要求的最优水平。更多还原

【Abstract】 Combining Genetic Algorithm with Newtonian Algorithm,this paper presents a kind of Nonlinear Integrated Intelligent Algorithm which can overcome disadvantages of low probability for global solution of Newtonian Algorithm and convergence tardiness of Genetic Algorithms to solve Network Congestion Problem.Computers group simulation results indicate that this new algorithm can efficiently solve Network Congestion problem and keep the leakage of information word on best level of CCITT criterion when people get fast convergent and reliable global solution.更多还原