Consultation sequencing of a hospital with multiple service points using genetic programming

DOI10.1080/0305215X.2018.1431233OpenAlexW2791205210WikidataQ130195186 ScholiaQ130195186MaRDI QIDQ5058855

Katsumi Morikawa, Katsuhiko Takahashi, Keisuke Nagasawa

Publication date: 23 December 2022

Published in: Engineering Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/0305215x.2018.1431233

zbMATH Keywords

simulationsequencinggenetic programminghospital

Mathematics Subject Classification ID

Operations research, mathematical programming (90-XX)

Cites Work

• Reducing patient-flow delays in surgical suites through determining start-times of surgical cases
• Scheduling the hospital-wide flow of elective patients
• Time-series event-based prediction: an unsupervised learning framework based on genetic programming
• A novel parallel quantum genetic algorithm for stochastic job shop scheduling
• Integrating simulation and optimisation in health care centre management
• Investigating the use of genetic programming for a classic one-machine scheduling problem
• A hybrid method for solving stochastic job shop scheduling problems

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