Ensemble meta-heuristics and Q-learning for staff dissatisfaction constrained surgery scheduling and rescheduling-Reference-Cited by-同舟云学术

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Ensemble meta-heuristics and Q-learning for staff dissatisfaction constrained surgery scheduling and rescheduling

Published:2024-08 Issue: Volume:134 Page:108668
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Yu Hui,Gao Kai-zhou,Wu Naiqi^ORCID,Suganthan Ponnuthurai Nagaratnam

Publisher

Elsevier BV

Reference72 articles.

1. Two-stage no-wait hybrid flow shop with inter-stage flexibility for operating room scheduling;Azaiez;Comput. Ind. Eng.,2022

2. A simulation model for perioperative process improvement;Azari-Rad;Oper. Res. Health Care.,2014

3. Flexible open shop scheduling problem to minimize makespan;Bai;Comput. Oper. Res.,2016

4. Testing the performance of teaching–learning based optimization (TLBO) algorithm on combinatorial problems: flow shop and job shop scheduling cases;Baykasoğlu;Inf. Sci.,2014

5. Surgical case scheduling problem with fuzzy surgery time: an advanced bi-objective ant system approach;Behmanesh;Knowledge-Based Syst.,2019

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