A Multi-Objective Decomposition Optimization Method for Refinery Crude Oil Scheduling through Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{pereira:2023:IAM,
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author = "Cristiane Salgado Pereira and Douglas Mota Dias and
Luis Marti and Marley Vellasco",
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title = "A Multi-Objective Decomposition Optimization Method
for Refinery Crude Oil Scheduling through Genetic
Programming",
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booktitle = "8th Workshop on Industrial Applications of
Metaheuristics",
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year = "2023",
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editor = "Silvino Fernandez and Pablo Valledor and
Thomas Stuetzle",
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pages = "1972--1980",
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address = "Lisbon, Portugal",
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series = "GECCO '23",
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month = "15-19 " # jul,
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organisation = "SIGEVO",
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publisher = "Association for Computing Machinery",
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publisher_address = "New York, NY, USA",
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keywords = "genetic algorithms, genetic programming,
quantum-inspired algorithm, decomposition, refinery
scheduling, evolutionary multi-objective optimization",
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isbn13 = "9798400701191",
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DOI = "doi:10.1145/3583133.3596313",
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size = "9 pages",
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abstract = "This paper proposes an evolutionary algorithm
integrating genetic programming and a
decomposition-based multi-objective algorithm to
address a crude oil refinery scheduling problem. Four
objectives are modelled, two related to maintaining the
crude oil processing level, and the other two aim to
keep the refinery operations as smooth as possible. The
proposed method, Constrained-Decomposition of
Quantum-Inspired Grammar-based Linear Genetic
Programming (C-DQIGLGP), uses Quantum-Inspired
Grammar-based Linear Genetic Programming (QIGLGP),
replacing its hierarchical approach for the objectives
with a multi-objective decomposition-based one. To
achieve this goal, QIGLGP was profoundly modified
regarding sorting individuals, updating the population,
and applying the evolutionary operator. Individuals
whose objective values related to processing level are
under a predefined limit are better ranked. We compare
the results of C-DQIGLGP for five scenarios from a real
refinery to those obtained by QIGLGP and Constrained
Non-dominated Sort QIGLGP (C-NSQIGLGP), from
literature, demonstrating the better performance of
C-DQIGLGP for all cases.",
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notes = "GECCO-2023 A Recombination of the 32nd International
Conference on Genetic Algorithms (ICGA) and the 28th
Annual Genetic Programming Conference (GP)",
- }
Genetic Programming entries for
Cristiane Salgado Pereira
Douglas Mota Dias
Luis Marti
Marley Maria Bernardes Rebuzzi Vellasco
Citations