A Preliminary Approach to Evolutionary Multitasking for Dynamic Flexible Job Shop Scheduling via Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Zhang:2020:GECCOcomp,
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author = "Fangfang Zhang and Yi Mei and Su Nguyen and
Mengjie Zhang",
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title = "A Preliminary Approach to Evolutionary Multitasking
for Dynamic Flexible Job Shop Scheduling via Genetic
Programming",
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year = "2020",
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editor = "Richard Allmendinger and Hugo Terashima Marin and
Efren Mezura Montes and Thomas Bartz-Beielstein and
Bogdan Filipic and Ke Tang and David Howard and
Emma Hart and Gusz Eiben and Tome Eftimov and
William {La Cava} and Boris Naujoks and Pietro Oliveto and
Vanessa Volz and Thomas Weise and Bilel Derbel and Ke Li and
Xiaodong Li and Saul Zapotecas and Qingfu Zhang and
Rui Wang and Ran Cheng and Guohua Wu and Miqing Li and
Hisao Ishibuchi and Jonathan Fieldsend and
Ozgur Akman and Khulood Alyahya and Juergen Branke and
John R. Woodward and Daniel R. Tauritz and Marco Baioletti and
Josu Ceberio Uribe and John McCall and
Alfredo Milani and Stefan Wagner and Michael Affenzeller and
Bradley Alexander and Alexander (Sandy) Brownlee and
Saemundur O. Haraldsson and Markus Wagner and
Nayat Sanchez-Pi and Luis Marti and Silvino {Fernandez Alzueta} and
Pablo {Valledor Pellicer} and Thomas Stuetzle and
Matthew Johns and Nick Ross and Ed Keedwell and
Herman Mahmoud and David Walker and Anthony Stein and
Masaya Nakata and David Paetzel and Neil Vaughan and
Stephen Smith and Stefano Cagnoni and Robert M. Patton and
Ivanoe {De Falco} and Antonio {Della Cioppa} and
Umberto Scafuri and Ernesto Tarantino and
Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and
Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and
Richard Everson and Handing Wang and Yaochu Jin and
Erik Hemberg and Riyad Alshammari and
Tokunbo Makanju and Fuijimino-shi and Ivan Zelinka and Swagatam Das and
Ponnuthurai Nagaratnam and Roman Senkerik",
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isbn13 = "9781450371278",
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publisher = "Association for Computing Machinery",
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publisher_address = "New York, NY, USA",
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URL = "https://doi.org/10.1145/3377929.3389934",
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DOI = "doi:10.1145/3377929.3389934",
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booktitle = "Proceedings of the 2020 Genetic and Evolutionary
Computation Conference Companion",
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pages = "107--108",
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size = "2 pages",
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keywords = "genetic algorithms, genetic programming, knowledge
transfer, dynamic flexible job shop scheduling, genetic
programming hyper-heuristics, evolutionary
multitasking",
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address = "internet",
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series = "GECCO '20",
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month = jul # " 8-12",
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organisation = "SIGEVO",
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abstract = "Genetic programming, as a hyper-heuristic approach,
has been successfully used to evolve scheduling
heuristics for job shop scheduling. However, the
environments of job shops vary in configurations, and
the scheduling heuristic for each job shop is normally
trained independently, which leads to low efficiency
for solving multiple job shop scheduling problems. This
paper introduces the idea of multitasking to genetic
programming to improve the efficiency of solving
multiple dynamic flexible job shop scheduling problems
with scheduling heuristics. It is realised by the
proposed evolutionary framework and knowledge transfer
mechanism for genetic programming to train scheduling
heuristics for different tasks simultaneously. The
results show that the proposed algorithm can
dramatically reduce the training time for solving
multiple dynamic flexible job shop tasks.",
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notes = "Also known as \cite{10.1145/3377929.3389934}
GECCO-2020 A Recombination of the 29th International
Conference on Genetic Algorithms (ICGA) and the 25th
Annual Genetic Programming Conference (GP)",
- }
Genetic Programming entries for
Fangfang Zhang
Yi Mei
Su Nguyen
Mengjie Zhang
Citations