一种改进遗传算法在数值优化中的应用

A Modified Genetic Algorithm for Numeric Optimization

提出了一种改进的遗传算法———可变适应度的遗传算法,并详细介绍了该方法在数值优化计算中的应用,以及该方法在提高算法的收敛速度和算法的可靠性方面的作用和原理。最后通过实际的例子说明了算法在数值计算中的有效性。

The modified genetic algorithm——alterable fitness function genetic algorithm was proposed in this paper. Then the application of the numeric optimization was introduced and the theory and effect in increasing the convergent speed and security were discussed. An example was given to account for the validity of the algorithm for numeric optimization.