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A novel DRO model for self scheduling problem

This study is using distributionally robust optimization (DRO) algorithm with conditional value-at-risk (CVaR) to solve self-scheduling problem to obtain a suitable and adjustable self-scheduling strategy

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Overview

This study is using distributionally robust optimization (DRO) algorithm with conditional value-at-risk (CVaR) to solve self-scheduling problem to obtain a suitable and adjustable self-scheduling strategy

Repository information

Repository
linfengYang/A-novel-DRO-model-for-self-scheduling-problem ↗
Repository owner
linfengYang
Primary language
MATLAB
Repository code license
Not recorded
Maintenance status
Not archived at the recorded check
Forked repository
No
GitHub stars
63
Forks
16
Default branch
main
Last repository push
Apr 17, 2024

Source: GitHub API · observed Oct 11, 2026. Stars and forks are recorded counts. Repository code licenses may differ from dataset or model-weight licenses.

Source links & provenance

https://github.com/linfengYang/A-novel-DRO-model-for-self-scheduling-problem ↗

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