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As a result, the angular field of view is about 7° for all objectives.
Such a point is the worst for all objectives when compared to the solutions of all Pareto fronts being evaluated.
It is found that plus-sign-like cross-sections have better performance than benchmarks for all objectives.
Also, as real SC problems consider more than one objective, the appearance of conflict objectives does not allow simultaneous optimal solutions for all objectives.
This process is then repeated for each objective independently and a set of clusters that are mutually inclusive for all objectives are identified.
However, when objectives conflict with each other, the multi-objective problem does not have a single optimal solution for all objectives simultaneously.
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The probabilities of an objective being scored as 'Important' is approximately P(Important|objective) = 0.5 for all the objectives given.
For all these objectives, the difference in effect across age groups and gender will be studied.
For all the objective functions, solution x is not worse than another solution y.
This Pareto front contains the solutions that are acceptable operation for all objective functions.
The approach is performed to reach simultaneous optimal solutions for all objective functions.
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