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Multi-agent reinforcement learning driving smart factory agility

At the core of Industry 4.0, the smart factory integrates automation, mass customization, and self-organization into a highly ...
Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which optimization actually moved the needle.
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The selective oxidation of alcohols to aldehydes is a vital reaction in organic synthesis and chemical production. However, this reaction exhibits a complex reaction network influenced by temperature, ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
This implementation of PT was developed using MATLAB 2015. The code is organized in different packages depending on the scope. The main package is called pt which stands for Pareto Tracer. This ...
Abstract: For dynamic multi-objective vehicle routing problems, the waiting time of vehicle, the number of serving vehicles, and the total distance of routes were normally considered as the ...