Algorithm Performance Metrics Results
doi:10.4121/19096403.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
For a link that will always point to the latest version, please use
doi: 10.4121/19096403
doi: 10.4121/19096403
Datacite citation style:
zhang, zheng (2022): Algorithm Performance Metrics Results. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/19096403.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
This data is the code metrics result of the paper ''Many-Objective Hybrid Flow Shop Scheduling Optimization Considering Machine Preventive Maintenance under Time-of-use Electricity Prices''.The metrics results include DM, deltaP, HV that are used to evaluate algorithm performance.The purpose of this dataset is to make readers better understand the paper.
history
- 2022-02-09 first online, published, posted
publisher
4TU.ResearchData
format
xlsx
organizations
Fuzhou University
DATA
files (1)
- 33,219 bytesMD5:
8439be266d5fcf38b24ea2b0613cd2ca
MetricsResult.xlsx -
download all files (zip)
33,219 bytes unzipped