These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
5. A clustering metaheuristic for large orienteering problems. Elzein A; Di Caro GA PLoS One; 2022; 17(7):e0271751. PubMed ID: 35867693 [TBL] [Abstract][Full Text] [Related]
6. Estimating the effect of timetabling decisions on the spread of SARS-CoV-2 in medium-to-large engineering schools in Canada: an agent-based modelling study. Brennan RW; Nelson N; Paul R CMAJ Open; 2021; 9(4):E1252-E1259. PubMed ID: 34933883 [TBL] [Abstract][Full Text] [Related]
7. The impact of timetable on student's absences and performance. Larabi-Marie-Sainte S; Jan R; Al-Matouq A; Alabduhadi S PLoS One; 2021; 16(6):e0253256. PubMed ID: 34170914 [TBL] [Abstract][Full Text] [Related]
8. A Hidden Markov Model Approach to the Problem of Heuristic Selection in Hyper-Heuristics with a Case Study in High School Timetabling Problems. Kheiri A; Keedwell E Evol Comput; 2017; 25(3):473-501. PubMed ID: 27258841 [TBL] [Abstract][Full Text] [Related]
9. Particle Swarm Optimisation Variants and Its Hybridisation Ratios for Generating Cost-Effective Educational Course Timetables. Thepphakorn T; Sooncharoen S; Pongcharoen P SN Comput Sci; 2021; 2(4):264. PubMed ID: 33997791 [TBL] [Abstract][Full Text] [Related]
10. An introduction of preference based stepping ahead firefly algorithm for the uncapacitated examination timetabling. Nand R; Sharma B; Chaudhary K PeerJ Comput Sci; 2022; 8():e1068. PubMed ID: 36091985 [TBL] [Abstract][Full Text] [Related]
11. Implementation of an effective hybrid GA for large-scale traveling salesman problems. Nguyen HD; Yoshihara I; Yamamori K; Yasunaga M IEEE Trans Syst Man Cybern B Cybern; 2007 Feb; 37(1):92-9. PubMed ID: 17278563 [TBL] [Abstract][Full Text] [Related]
12. Some metaheuristic algorithms for solving multiple cross-functional team selection problems. Ngo ST; Jaafar J; Izzatdin AA; Tong GT; Bui AN PeerJ Comput Sci; 2022; 8():e1063. PubMed ID: 36092009 [TBL] [Abstract][Full Text] [Related]
13. Automated Design of Multipass Heuristics for Resource-Constrained Job Scheduling With Self-Competitive Genetic Programming. Nguyen S; Thiruvady D; Zhang M; Alahakoon D IEEE Trans Cybern; 2022 Sep; 52(9):8603-8616. PubMed ID: 33710971 [TBL] [Abstract][Full Text] [Related]
14. DNA-algorithm for timetable problem. Popov IY; Vorobyova AV; Blinova IV Int J Bioinform Res Appl; 2014; 10(2):145-56. PubMed ID: 24589834 [TBL] [Abstract][Full Text] [Related]
15. A New Frequency Analysis Operator for Population Improvement in Genetic Algorithms to Solve the Job Shop Scheduling Problem. Viana MS; Contreras RC; Morandin Junior O Sensors (Basel); 2022 Jun; 22(12):. PubMed ID: 35746343 [TBL] [Abstract][Full Text] [Related]
16. A computational efficient optimization of flow shop scheduling problems. Liang Z; Zhong P; Liu M; Zhang C; Zhang Z Sci Rep; 2022 Jan; 12(1):845. PubMed ID: 35039598 [TBL] [Abstract][Full Text] [Related]
17. Application of job shop scheduling approach in green patient flow optimization using a hybrid swarm intelligence. Vali M; Salimifard K; Gandomi AH; Chaussalet TJ Comput Ind Eng; 2022 Oct; 172():108603. PubMed ID: 36061977 [TBL] [Abstract][Full Text] [Related]
18. An impatient evolutionary algorithm with probabilistic tabu search for unified solution of some NP-hard problems in graph and set theory via clique finding. Guturu P; Dantu R IEEE Trans Syst Man Cybern B Cybern; 2008 Jun; 38(3):645-66. PubMed ID: 18558530 [TBL] [Abstract][Full Text] [Related]
19. FOX-GA: a genetic algorithm for generating and analyzing battlefield courses of action. Schlabach JL; Hayes CC; Goldberg DE Evol Comput; 1999; 7(1):45-68. PubMed ID: 10199995 [TBL] [Abstract][Full Text] [Related]
20. Iterative optimization techniques using man-machine interaction for university timetabling problems. Shimazaki S; Sakakibara K; Matsumoto T Springerplus; 2015; 4():251. PubMed ID: 26090301 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]