Formulation and Methods for a Class of Two-stage Flow-shop Scheduling Problem with the Batch Processor
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Wang:2020:CASE,
-
author = "Runsen Wang and Yilan Shen and Weihao Wang and
Leyuan Shi",
-
title = "Formulation and Methods for a Class of Two-stage
Flow-shop Scheduling Problem with the Batch Processor",
-
booktitle = "2020 IEEE 16th International Conference on Automation
Science and Engineering (CASE)",
-
year = "2020",
-
pages = "728--733",
-
abstract = "Motivated by the heat-treating process in a launch
vehicles manufacturing plant, we study a two-stage
scheduling problem with limited waiting time where the
first stage is a batch processor and the second stage
is a discrete machine. A mixed-integer programming
model is developed and two lower bounds are derived to
measure the performance of proposed algorithms. An
efficient heuristic together with worst-case analysis
is also proposed. Genetic Programming approaches are
applied to the flow-shop scheduling problem. Numerical
results demonstrate that the proposed algorithms
perform better than other meta-heuristics in different
production scenarios.",
-
keywords = "genetic algorithms, genetic programming, Batch
production systems, Job shop scheduling, Processor
scheduling, Heating systems, Numerical models,
Heuristic algorithms",
-
DOI = "doi:10.1109/CASE48305.2020.9216748",
-
ISSN = "2161-8089",
-
month = aug,
-
notes = "Also known as \cite{9216748}",
- }
Genetic Programming entries for
Runsen Wang
Yilan Shen
Weihao Wang
Leyuan Shi
Citations