These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

This work develops a topology optimization method for multi-component structures to minimize dynamic compliance under harmonic loads. While most research focuses on single-domain systems, real ...

Lawmakers are aiming to crack down on so-called “dynamic pricing” in the wake of a jaw-dropping report showing that grocery delivery app Instacart charged shoppers different prices for the same items ...

1 Faculty of Information Technology, Al-Farabi Kazakh National University, Almaty, Kazakhstan 2 School of Data Science, Fudan University, Shanghai, China Robot path planning is a cornerstone of ...

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...

Apple is expanding availability of its new 40W Dynamic Power Adapter with 60W Max to several countries that use type G plugs. The new variant of the adapter features a three-prong folding design that ...

Abstract: The challenge of dynamic multimodal optimization problems (DMMOPs) lies in tracking multiple global or locally acceptable optimal solutions in environments that change over time. Typically, ...

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Abstract: dynamic multiobjective optimization (DMO) problems are prevalent in many practical applications and have garnered significant attention from both industry and academia, leading to the ...