After years of creating highly specialized software, researchers used supercomputer clusters to finally solve the ...
Abstract: Real-world constrained multiobjective optimization problems (CMOPs) are prevalent and often come with stringent time-sensitive requirements. However, most contemporary constrained ...
Recommender systems suggest potentially relevant content by evaluating user preferences and are essential in reducing ...
To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...
The errors that quantum computers make are holding the technology back. But recent progress in quantum error correction has ...
The first entangling stage produces the dominant QFI increase, while additional stages yield diminishing returns. Entanglement primarily amplifies cross-parameter correlations rather than individual ...
Abstract: A mathematical model is developed for the dual resource constrained flexible job-shop scheduling problem (DRCFJSP), considering worker proficiency and preparation times of jobs on machines ...
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