Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which optimization actually moved the needle.

Abstract: To meet the stringent performance of electric vehicle controllers, it is highly needed to optimize the electrical and thermal performance of power semiconductor modules. As stacked direct ...

Abstract: Recently, neural combinatorial optimization (NCO) methods have been prevailing for solving multiobjective combinatorial optimization problems (MOCOPs). Most NCO methods are based on the ...