摘要
针对遗传算法在求解最优化集装问题时收敛速度慢,易陷入局部最优的不足,对标准遗传算法进行了改进,将交叉概率和变异概率进行自适应调节,再结合移民策略,提出了可自适应调节参数的改进遗传算法,并把该算法应用于弹药集装问题之中,实验结果表明其能够提高装箱的利用率。
In order to solve the problem of convergent speed of Genetic Algorithm and avoid the lack of local most optimization, an improved adaptive genetic algorithm（AGA） which adjusts the probabilities crossover and mutation and introduces the immigrant strategy is presented. The method is applied to ammunition packaging problem, and it enhances the efficiency of packaging.
出处
《微计算机信息》
北大核心
2007年第02X期205-206,223,共3页
Control & Automation
