题目:Smart “Predict, then Optimize” 主办方:中国科学技术大学科技商学院 协办方:中国科学技术大学管理学院,国际金融研究院 承办方:现代物流与供应链安徽省重点实验室 回放链接:蔻享--共享科学、传播科学…
This article introduces the Smart "Predict, then Optimize" (SPO) framework for developing prediction models within the predict-then-optimize paradigm. The framework leverages specialized loss functions that incorporate the structure of the optimization problem. It is applicable to problems with linear obj...
Because of the typically complex nature of each challenge, the standard paradigm is predict-then-optimize. By and large, machine learning tools are intended to minimize prediction error and do not account for how the predictions will be used in the downstream optimization problem. In contrast, we...
Smart predict then optimize (SPO)Efficient inspection of ships at ports to ensure their compliance with safety and environmental regulations is of vital significance to maritime transportation. Given that maritime authorities often have limited inspection resources, we proposed three two-step approaches ...
If the systems predict a drought, they gradually increase watering to prevent crop stress. Once fine-tuning is complete, the systems conserve resources and increase yield efficiency with minimal human intervention. Precision agriculture as a means for intelligent farming Precision agriculture, or ...
A smart-scheduling engine can optimize frontline schedules based on several evaluation criteria. For example, the engine could maximize the number of jobs scheduled, minimize operating costs related to shifts or travel time, or maximize service levels by reducing customer wait times. To achieve the ...
from scipy.optimize import minimize from scipy import stats def expected_improvement(points, gp, samples, bigger_better=False): # are we trying to maximise a score or minimise an error? if bigger_better: best_sample = samples[np.argmax(samples)] mu, cov = gp.predict(samples, points) ...
Smart buildings allow remote monitoring and control and can predict andaddress maintenanceissues before they become problems, reducing downtime and costs. Space utilization Smart buildings can analyze space utilization data to optimize the layout and usage of rooms and facilities. ...
In a manufacturing context, these technologies are incorporated into the business software used to inform product development, forecast demand, predict factory equipment breakdowns, identify the potential for product defects, reduce waste, optimize transport routes, and more. A smart factory’s robots ...
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