A Multi-Objective Evolutionary Algorithm Approach for Optimizing Part Quality Aware Assembly Job Shop Scheduling Problems
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Prince:2021:evoapplications,
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author = "Michael H. Prince and Kristian K. DeHaan and
Daniel R. Tauritz",
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title = "A Multi-Objective Evolutionary Algorithm Approach for
Optimizing Part Quality Aware Assembly Job Shop
Scheduling Problems",
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booktitle = "24th International Conference, EvoApplications 2021",
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year = "2021",
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month = "7-9 " # apr,
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editor = "Pedro Castillo and Juanlu Jimenez-Laredo",
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series = "LNCS",
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volume = "12694",
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publisher = "Springer Verlag",
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address = "virtual event",
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pages = "97--112",
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organisation = "EvoStar, Species",
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keywords = "genetic algorithms, genetic programming, Assembly Job
Shop Scheduling, Evolutionary algorithm, Manufacturing,
Multi-objective evolutionary algorithm",
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isbn13 = "978-3-030-72698-0",
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DOI = "doi:10.1007/978-3-030-72699-7_7",
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abstract = "Motivated by a real-world application, we consider an
Assembly Job Shop Scheduling Problem (AJSSP), with
three objectives: product quality, product quantity,
and first product lead time. Using real-world
inspection data, we demonstrate the ability to model
product quality transformations during assembly jobs
via genetic programming by considering the quality
attributes of subparts. We investigate integrating
quality transformation models into an AJSSP. Through
the use of the de facto standard multi-objective
evolutionary algorithm, NSGA-II, and a novel genotype
to handle the constraints, we describe an evolutionary
approach to optimizing all stated objectives. This
approach is empirically shown to outperform random
search and hill climbing in both performance and
usability metrics expected to be valuable to
administrators involved in plant scheduling and
operations.",
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notes = "http://www.evostar.org/2021/ EvoApplications2021 held
in conjunction with EuroGP'2021, EvoCOP2021 and
EvoMusArt2021",
- }
Genetic Programming entries for
Michael H Prince
Kristian K DeHaan
Daniel R Tauritz
Citations