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Problem is thirty.
If a problem is 30, the problem is the person who sits 30 cm from the computer screen.
Exact(5)
Variants of GA adapted to multi-objective problems were proposed.
Some operational errors were reported, and solutions to these problems were proposed.
As summarized by the review papers of [30, 31, 32], and the very comprehensive papers of [33, 34], solutions to the class imbalance problems were proposed both at the data and algorithmic level.
While some computational models of intelligence test problems were proposed throughout the second half of the XXth century, in the first years of the XXIst century we have seen an increasing number of computer systems being able to score well on particular intelligence test tasks.
Solutions to class imbalance problems were proposed at both the data and algorithmic levels [ 42].
Similar(55)
Strategies to overcome these problems are proposed.
Solutions to practical problems are proposed.
Then, generalized KKT conditions for the problems are proposed.
A system of benchmark problems is proposed for future reference.
A heuristic algorithm to handle larger size problems is proposed.
Two optimization problems are proposed and solved by linear programming.
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