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You're the Worst goes a step further than dragging serious issues to the forefront: It puts forward the notion that there isn't actually a set solution.
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The method described (which is able to exhibit a set-solution when the answer is affirmative) can be extended to solve the satisfiability problem for broader fragments of set theory.
A set of solution paths (solution space), which satisfy the application constraints, will be generated.
A feature weighting mechanism is required to find the optimal solution given a set of solutions.
Propose a solution or a set of solutions.
The first tabu list is composed of a set of solution vectors and the second one is composed of a set of energy values of the corresponding solutions.
It might have a set of solutions or have no solution.
Hence, instead of having one solution we have a set of solutions that cannot be compared to each other.
The optimal solution was selected from a set of solutions using the exclusion method.
Instead of identifying a single solution, a MOGA aims to identify a set of solutions in which an improvement in one objective requires a decrease in the other.
So a set of solutions could be considered before choosing a final solution.
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