Evolving "less-myopic" scheduling rules for dynamic job shop scheduling with genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{Hunt:2014:GECCO,
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author = "Rachel Hunt and Mark Johnston and Mengjie Zhang",
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title = "Evolving {"}less-myopic{"} scheduling rules for
dynamic job shop scheduling with genetic programming",
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booktitle = "GECCO '14: Proceedings of the 2014 conference on
Genetic and evolutionary computation",
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year = "2014",
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editor = "Christian Igel and Dirk V. Arnold and
Christian Gagne and Elena Popovici and Anne Auger and
Jaume Bacardit and Dimo Brockhoff and Stefano Cagnoni and
Kalyanmoy Deb and Benjamin Doerr and James Foster and
Tobias Glasmachers and Emma Hart and Malcolm I. Heywood and
Hitoshi Iba and Christian Jacob and Thomas Jansen and
Yaochu Jin and Marouane Kessentini and
Joshua D. Knowles and William B. Langdon and Pedro Larranaga and
Sean Luke and Gabriel Luque and John A. W. McCall and
Marco A. {Montes de Oca} and Alison Motsinger-Reif and
Yew Soon Ong and Michael Palmer and
Konstantinos E. Parsopoulos and Guenther Raidl and Sebastian Risi and
Guenther Ruhe and Tom Schaul and Thomas Schmickl and
Bernhard Sendhoff and Kenneth O. Stanley and
Thomas Stuetzle and Dirk Thierens and Julian Togelius and
Carsten Witt and Christine Zarges",
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isbn13 = "978-1-4503-2662-9",
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pages = "927--934",
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keywords = "genetic algorithms, genetic programming",
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month = "12-16 " # jul,
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organisation = "SIGEVO",
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address = "Vancouver, BC, Canada",
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URL = "http://doi.acm.org/10.1145/2576768.2598224",
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DOI = "doi:10.1145/2576768.2598224",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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abstract = "Job Shop Scheduling (JSS) is a complex real-world
problem aiming to optimise a measure of delivery speed
or customer satisfaction by determining a schedule for
processing jobs on machines. A major disadvantage of
using a dispatching rule (DR) approach to solving JSS
problems is their lack of a global perspective of the
current and potential future state of the shop. We
investigate a genetic programming based hyper-heuristic
(GPHH) approach to develop less-myopic DRs for dynamic
JSS. Results show that in the dynamic ten machine job
shop, incorporating features of the state of the wider
shop, and the stage of a job's journey through the
shop, improves the mean performance, and decreases the
standard deviation of performance of the best evolved
rules.",
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notes = "Also known as \cite{2598224} GECCO-2014 A joint
meeting of the twenty third international conference on
genetic algorithms (ICGA-2014) and the nineteenth
annual genetic programming conference (GP-2014)",
- }
Genetic Programming entries for
Rachel Hunt
Mark Johnston
Mengjie Zhang
Citations