Generation of Dispatching Rules for Hot Rolling Batch Scheduling of Seamless Steel Tube Based on Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Wang:2018:ISCID,

• author = "Yang Wang and Tieke Li and Bailin Wang",
• title = "Generation of Dispatching Rules for Hot Rolling Batch Scheduling of Seamless Steel Tube Based on Genetic Programming",
• booktitle = "2018 11th International Symposium on Computational Intelligence and Design (ISCID)",
• year = "2018",
• volume = "02",
• pages = "362--365",
• month = dec,
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/ISCID.2018.10183",
• ISSN = "2473-3547",
• abstract = "The single machine scheduling problem with specification sequence-dependent setup time and tardy is studied, with the objective to minimize total tardiness. The setup time depends on the specification difference between adjacent batches. A genetic programming(GP) is designed to generate dispatching rules autonomously to solve the problem. Computational experiment is carried out with benchmark rules, and the results illustrate that the dispatching rules generated by GP have the best effectiveness in solving this kind of problem.",
• notes = "Also known as \cite{8695624}",

}

Genetic Programming entries for Yang Wang Tieke Li Bailin Wang

Citations