Crude oil refinery scheduling: addressing a real-world                  multiobjective problem through genetic programming and                  dominance-based approaches 
Created by W.Langdon from
gp-bibliography.bib Revision:1.8612
- @InProceedings{Pereira:2018:GECCOcomp,
- 
  author =       "Cristiane S. Pereira and Douglas M. Dias and 
Marley M. B. R. Vellasco and Francisco Henrique F. Viana and 
Luis Marti",
- 
  title =        "Crude oil refinery scheduling: addressing a real-world
multiobjective problem through genetic programming and
dominance-based approaches",
- 
  booktitle =    "GECCO '18: Proceedings of the Genetic and Evolutionary
Computation Conference Companion",
- 
  year =         "2018",
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  editor =       "Carlos Cotta and Tapabrata Ray and Hisao Ishibuchi and 
Shigeru Obayashi and Bogdan Filipic and 
Thomas Bartz-Beielstein and Grant Dick and 
Masaharu Munetomo and Silvino {Fernandez Alzueta} and Thomas Stuetzle and 
Pablo Valledor Pellicer and Manuel Lopez-Ibanez and 
Daniel R. Tauritz and Pietro S. Oliveto and 
Thomas Weise and Borys Wrobel and Ales Zamuda and 
Anne Auger and Julien Bect and Dimo Brockhoff and 
Nikolaus Hansen and Rodolphe {Le Riche} and Victor Picheny and 
Bilel Derbel and Ke Li and Hui Li and Xiaodong Li and 
Saul Zapotecas and Qingfu Zhang and Stephane Doncieux and 
Richard Duro and Joshua Auerbach and 
Harold {de Vladar} and Antonio J. Fernandez-Leiva and JJ Merelo and 
Pedro A. Castillo-Valdivieso and David Camacho-Fernandez and 
Francisco {Chavez de la O} and Ozgur Akman and 
Khulood Alyahya and Juergen Branke and Kevin Doherty and 
Jonathan Fieldsend and Giuseppe Carlo Marano and 
Nikos D. Lagaros and Koichi Nakayama and Chika Oshima and 
Stefan Wagner and Michael Affenzeller and 
Boris Naujoks and Vanessa Volz and Tea Tusar and Pascal Kerschke and 
Riyad Alshammari and Tokunbo Makanju and 
Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and 
John R. Woodward and Shin Yoo and John McCall and 
Nayat Sanchez-Pi and Luis Marti and Danilo Vasconcellos and 
Masaya Nakata and Anthony Stein and 
Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and 
Gabriela Ochoa and Stephen L. Smith and Stefano Cagnoni and 
Robert M. Patton and William {La Cava} and 
Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and 
Ivanoe {De Falco} and Antonio {Della Cioppa} and 
Ernesto Tarantino and Umberto Scafuri and P. G. M. Baltus and 
Giovanni Iacca and Ahmed Hallawa and Anil Yaman and 
Alma Rahat and Handing Wang and Yaochu Jin and 
David Walker and Richard Everson and Akira Oyama and 
Koji Shimoyama and Hemant Kumar and Kazuhisa Chiba and 
Pramudita Satria Palar",
- 
  isbn13 =       "978-1-4503-5764-7",
- 
  pages =        "1821--1828",
- 
  address =      "Kyoto, Japan",
- 
  DOI =          " 10.1145/3205651.3208291", 10.1145/3205651.3208291",
- 
  publisher =    "ACM",
- 
  publisher_address = "New York, NY, USA",
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  month =        "15-19 " # jul,
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  organisation = "SIGEVO",
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  keywords =     "genetic algorithms, genetic programming",
- 
  abstract =     "his study presents the crude oil scheduling problem
with four objectives divided in two different levels of
importance. It comes from a real refinery where the
scheduling starts on the offloading of ships,
encompasses terminal and refinery tanks, a crude
pipeline, and finishes on the output streams of the
crude distillation units. We propose a new approach for
the Quantum-Inspired Grammar-based Linear Genetic
Programming (QIGLGP) evolutionary algorithm to handle
the multiple objectives of the problem using the
non-dominance concept. The modifications are
concentrated on the population updating and sorting
steps of QIGLGP. We tackle difference of importance
among the objectives using the principle of violation
of constraints. The problem constraints define if an
instruction will or not be executed but do not affect
the violation equation of the objectives. The
individuals which have objective values under a
pre-defined upper limit are better ranked. Results from
five scenarios showed that the proposed model was able
to significantly increase the percentage of runs with
acceptable solutions, achieving success ratio of
100percent in 3 cases and over 70percent in 2 other
ones. They also show that the Pareto front of these
accepted runs contains a set of non-dominated solutions
that could be analysed by the decision maker for his a
posteriori decision.",
- 
  notes =        "Also known as \cite{3208291} GECCO-2018 A
Recombination of the 27th International Conference on
Genetic Algorithms (ICGA-2018) and the 23rd Annual
Genetic Programming Conference (GP-2018)",
- }
Genetic Programming entries for 
Cristiane Salgado Pereira
Douglas Mota Dias
Marley Maria Bernardes Rebuzzi Vellasco
Francisco Henrique F Viana
Luis Marti
Citations
