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To compare the MSGAs's results with those of the previous study, considering the chlorination as a single-objective problem, we choose solution "S1", highlighted in Fig. 7, witch heed the chlorination uniformity objective.
Among all stored solutions J m choose solution with the lowest distortion D m. Modify one, two, or three coefficients according to the best solution (see explanation in Section 2) and, if necessary, insert or remove coefficient in the block c b i. Process all k 1 + k 2 blocks using steps 4-9.
Among all stored solutions J m choose solution with the lowest distortion D m. Modify one, two, or three coefficients according to the best solution (see explanation in Section 2) and, if necessary, insert or remove coefficient in the block c b i. 10.
Choose solution J m with the lowest distortion D m and store it.
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Maybe the tester wants to prioritize this objective and choose solutions with score greater than 98%%.
According to the objectives priority, the decision maker can choose solutions directly from the Pareto front.
Other option is to choose solutions associated to the greatest scores.
Table 1 lists MOEAs that use Pareto dominance to choose solutions.
At the end, the tester can either prioritize one objective, by choosing solutions in the extreme points of the fronts or choose solutions with smaller ED values, according to the testing goals and resources.
It is possible to choose solutions with a score greater than 0.98 and with a reduced number of test cases.
They are more likely to hold positions that allow them to make independent decisions and use their skills and experience to choose solutions to work-related problems.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com