Surgical cases assignment problem using an efficient genetic programming hyper-heuristic
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- @Article{ZHU:2023:cie,
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author = "Lei Zhu and Yusheng Zhou and Shuhui Sun and Qiang Su",
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title = "Surgical cases assignment problem using an efficient
genetic programming hyper-heuristic",
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journal = "Computer \& Industrial Engineering",
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pages = "109102",
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year = "2023",
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ISSN = "0360-8352",
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DOI = "doi:10.1016/j.cie.2023.109102",
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URL = "https://www.sciencedirect.com/science/article/pii/S0360835223001262",
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keywords = "genetic algorithms, genetic programming,
Hyper-heuristic, Operating room planning, Surgical
cases assignment",
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abstract = "The surgical case assignment problem (SCAP) is vital
to the operating room planning problem. Although
several methods have been applied, the solution
accuracy can be improved further. In this paper, an
efficient genetic programming hyper-heuristic (GP-HH)
algorithm is proposed for the SCAP to minimize the
total operating cost. First, eight simple and adaptive
heuristic rules are devised to constitute a set of
low-level heuristics (LLHs). Second, genetic
programming is employed as a high-level heuristic to
dynamically manage LLHs applied to the solution domain.
Third, effective solution encoding and the
corresponding decoding schemes are developed to
represent individuals and construct valid schedules. To
investigate the influence of the parameter settings, we
performed a design-of-experiment (DOE). The
effectiveness of GP-HH is executed on a typical
benchmark dataset. The experimental results demonstrate
the superiority of the proposed GP-HH scheme over
existing approaches",
- }
Genetic Programming entries for
Lei Zhu
Yusheng Zhou
Shuhui Sun
Qiang Su
Citations