Abstract: We develop a rapid rank-revealing technique to address a wide range of global optimization problems with a huge search space. This method is versatile, serving effectively for both nonlinear ...

While studying salmon populations and designing amusement parks, these students are breaking barriers to advanced math that ...

Abstract: Constrained multi-objective optimization problems (CMOPs) generally contain multiple constraints, which not only form multiple discrete feasible regions but also reduce the size of optimal ...

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Optimization problems often involve situations in which the user's goal is to minimize and/or maximize not a single objective function, but several, usually conflicting, functions simultaneously. Such ...