摘要
优化问题的实质是在搜索空间中寻找一个点，在满足一定的条件下，使其给定的性质指标达到最大值（或最小值）．基因算法（ＧＡ）是一种新型的基于遗传学理论、模拟生命进化机制来实现搜索和优化的算法．该文以一定的目标函数进行了研究，结果表明，该算法能以很大的概率趋于全局最优解．
The essence of optimal problems is to find a point in a search space, whose prescribed features reach maximum (or minimum). The genetic algorithm is a new algorithm which mimics the mechanism of the evolution of life to complete search and optimization.This paper studies it sith a certain objective function. The results show that this algorithm is capable of approaching a globally optimal solution with a great probability.
出处
《北京化工大学学报（自然科学版）》
CAS
CSCD
北大核心
1995年第1期53-58,共6页
Journal of Beijing University of Chemical Technology(Natural Science Edition)
