The development of quantum processors for practical fluid flow problems is a promising yet distant goal. Recent advances in quantum linear solvers have highlighted their potential for classical fluid ...
Abstract: This paper introduces a novel hybrid optimization algorithm that combines the Gazelle Optimization Algorithm (GOA) with Differential Evolution (DE) to enhance performance in optimizing ...
SharpSMT first fuses DPLL(T) polytope enumeration with new factorization, variable-elimination and caching pre-processing, ...
Abstract: Recently, a series of evolutionary algorithms have been proposed to enhance the search efficiency when handling large-scale multiobjective optimization problems (LSMOPs). Among them, ...
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