A multi-cloud MLOps framework improves AI service reliability through automated deployment, canary releases, and ...

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

300+ open source evolutionary algorithms 600+ open source benchmark problems Powerful GUI for performing experiments in parallel Generating results in the format of Excel or LaTeX table by one-click ...

Abstract: Multi-objective multi-point shortest path planning problems are commonly encountered in real-world applications. Numerous path planning algorithms have been proposed to accommodate different ...

Abstract: This paper studies the multi-objective optimization problems (MOPs) of Markovian jump systems (MJSs) closed by general controllers. Firstly, the linear quadratic regulator (LQR) problem of ...

With the increase of the scale of the micro-grid system, the optimization of microgrid power dispatching becomes a challenging issue. From the perspective of algorithm design, traditional heuristic ...