遗传算法的适应度函数研究

Research on Fitness Function in Genetic Algorithms

本文针对复杂函数的最优化问题，首先分析了遗传算法中常见的几种适应度函数的不足，论证了适应度函数在遗传算法中的重要性。进一步提出了设计适应度函数应满足的五条标准，在此基础上给出了一类适应度函数公式，并对性能进行反复测试。结果表明，本文的适应度函数的性能明显优于其它函数，对提高遗传算法的整体性能也有重要意义。

Based on the global optimization of complex functions,this article analyses the drawback to some common fitness functions and their importance in genetic algorithms.Most important of all,the article proposes five standards that fitness function should satisfy.Based on these standards,the article gives its own fitness function.Both the separate and compositive testing results show that the performance of our fitness function is better than that of the others.We think that it is important to improve the whole performance of genetic algorithms. [WT5”HZ〗