摘要
传统的基本遗传算法在全局搜索和收敛速度上存在不足,通过把基本遗传算法和模拟退火算法相结合,提出的模拟退火混合遗传算法能够大大提高收敛速度,并采用一个多峰值函数验证了模拟退火混合算法的性能.
Traditional basic genetic algorithm has deficiencies in global search and convergence speed. Combined the basic genetic algorithm with the simulated annealing algorithm, the simulated annealing hybrid genetic algorithm was proposed, which can greatly accelerate the convergence speed, using a multi - peak function to verify the performance of the hybrid algorithm.
出处
《重庆文理学院学报（自然科学版）》
2009年第5期65-67,共3页
Journal of Chongqing University of Arts and Sciences
关键词
遗传算法
模拟退火
收敛速度
genetic algorithm
simulated annealing
convergence speed
