Improved genetic algorithm and its application in optimal combination stacks of steel roll
一种改进的遗传算法及其在钢卷优化组合中的应用

To overcome the disadvantage of local optimum and slower convergence speed of general genetic algorithms,an improved genetic algorithm with dynamic changing parameters was proposed by introducing the variance and expectation of individual adaptive value to describe concentration dissipation degree of population.The improved algorithm's validity was verified by simulation tests.The improved algorithm was applied to automatic combination stacks of steel roll in a batch annealing shop and a satisfactory result is obtained in production.