A feasible solution is a global optimum if no other feasible points with a better objective function value are found in the feasible region.Group of answer choicesTrueFalseNext
Question
A feasible solution is a global optimum if no other feasible points with a better objective function value are found in the feasible region.Group of answer choicesTrueFalseNext
Solution
True.
Here's why:
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A feasible solution is a point that satisfies all the constraints of an optimization problem.
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The global optimum (or global optimal solution) is the best possible solution to the problem, considering all feasible solutions. It is the point that provides the maximum (or minimum) value of the objective function.
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If no other feasible points with a better objective function value are found in the feasible region, it means that the feasible solution in question is indeed the best possible solution, considering all constraints.
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Therefore, in such a case, the feasible solution is indeed a global optimum.
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