Did not consider the issue of dynamic extent that these assessment criteria difficult to apply practical

DTSP optimization algorithm proposed assessment criteria, but it did not consider the issue of the degree of dynamic change, making these evaluation criteria difficult to apply practical. Therefore, the dynamic multi-objective TSP dynamic measure of the degree becomes more important. Similarly, the multi-objective TSP problem  synthetic diamond powder  degree of conflict between the goals of a great relationship, and there are experimental results show that the greater the degree of conflict, the more optimal solution, so the degree of conflict between the goals is a  abrasive wheels  optimization algorithm for TSP assessment needs to be considered an important issue. Synthetic diamond for multi-objective optimization problems, there have been some analysis of the relationship between objective methods, but these methods are not applicable to discrete multi-objective TSP. How to measure the extent of the problem and the problem of the dynamic correlation between objectives is a serious problem, its study is of great theoretical significance.