Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
Abstract: This work develops a solver based on the neural networks, where the discrete form of integral equations (IEs) is embedded to address both forward and inverse dynamic electromagnetic ...
Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...
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