Quantum-Inspired Genetic Programming Algorithm for the                  Crude Oil Scheduling of a Real-World Refinery 
Created by W.Langdon from
gp-bibliography.bib Revision:1.8620
- @Article{Pereira:2020:SYST,
 
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  author =       "C. S. Pereira and D. M. Dias and M. A. C. Pacheco and 
M. M. B. R. Vellasco and A. V. {Abs da Cruz} and 
E. H. Hollmann",
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  title =        "Quantum-Inspired Genetic Programming Algorithm for the
Crude Oil Scheduling of a Real-World Refinery",
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  journal =      "IEEE Systems Journal",
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  year =         "2020",
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  volume =       "14",
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  number =       "3",
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  pages =        "3926--3937",
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  abstract =     "Refinery scheduling comprises a group of decisions
that aims to optimize asset allocation, activity
sequencing, and the time-related realization of those
activities. This scheduling must achieve multiple
objectives while considering different types of
constraints. Uninterrupted processing unit operation,
on-time crude oil batch receipts, and tank switchover
minimization coexist in the everyday reasoning of a
scheduler. However, it is not usual that works
encompassing many operational aspects, such as multiple
operational objectives, settling time, and an unlimited
number of crudes, to blend in any tank. This article
proposes a new algorithm that integrates linear and
grammar-guided genetic programming concepts with a
quantum-inspired approach to create programs that
represent a crude oil refinery scheduling solution. The
fitness function comprises four objectives that guide
the evolution based on importance predefined by the
decision maker. We propose a success ratio to evaluate
the algorithm performance considering 50 runs for each
case. A final solution is considered a success if two
more important objectives are optimized. We assessed
our approach with five different scenarios of a real
refinery and three of them achieved a 10percent success
ratio.",
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  keywords =     "genetic algorithms, genetic programming",
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  DOI =          "
10.1109/JSYST.2020.2968039",
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  ISSN =         "1937-9234",
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  month =        sep,
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  notes =        "Also known as \cite{9034201}",
 
- }
 
Genetic Programming entries for 
C S Pereira
Douglas Mota Dias
Marco Aurelio Cavalcanti Pacheco
Marley Maria Bernardes Rebuzzi Vellasco
Andre Vargas Abs da Cruz
E H Hollmann
Citations