The Research of GA Based on Machine Learning and Niche Technology on Job-shop Scheduling Problem

摘要

In this paper the theories of machine-learning and niche technology are applied on the GA method of solving job-shop scheduling problems,to make each chromosome in the initial population have a fairly high fitness,then make the evolutionary process stable after a few iteration,and avoid the loss of the best solution.