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Both approaches give the same optimum solutions.
The results of optimum designs called 'Pareto optimum solutions' are a set of multiple optimum solutions.
Pareto front is presented as set of multiple optimum solutions.
DTS is able to converge to the global optimum solutions of a set of numerical examples.
Then, the objective function values of all Pareto optimum solutions form Pareto fronts in space.
4. The CPU time of running the algorithms to reach near optimum solutions. .
It is difficult for optimization algorithms to find the global optimum solutions.
Thereby, it could effectively prevent the searching processes from stopping in local optimum solutions.
In the following, we summarize three approaches which try to find suitable and optimum solutions.
GA has been proven to be very efficient and stable in searching for global optimum solutions.
Using to find the local optimum solutions (that is, the local minimum points) of (24).
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