Format
Items per page
Sort by

Send to:

Choose Destination

Results: 1 to 20 of 96

Similar articles for PubMed (Select 24802623)

1.

Automatic programming via iterated local search for dynamic job shop scheduling.

Nguyen S, Zhang M, Johnston M, Tan KC.

IEEE Trans Cybern. 2015 Jan;45(1):1-14. doi: 10.1109/TCYB.2014.2317488. Epub 2014 Apr 29.

PMID:
24802623
2.

Hyper-heuristic Evolution of Dispatching Rules: A Comparison of Rule Representations.

Branke J, Hildebrandt T, Scholz-Reiter B.

Evol Comput. 2015 Summer;23(2):249-77. doi: 10.1162/EVCO_a_00131. Epub 2014 Nov 24.

PMID:
24885679
3.

Developing an efficient scheduling template of a chemotherapy treatment unit: A case study.

Ahmed Z, Elmekkawy T, Bates S.

Australas Med J. 2011;4(10):575-88. doi: 10.4066/AMJ.2011.837. Epub 2011 Oct 31.

4.

An effective PSO-based memetic algorithm for flow shop scheduling.

Liu B, Wang L, Jin YH.

IEEE Trans Syst Man Cybern B Cybern. 2007 Feb;37(1):18-27.

PMID:
17278555
5.

GA-based discrete dynamic programming approach for scheduling in FMS environments.

Yang JB.

IEEE Trans Syst Man Cybern B Cybern. 2001;31(5):824-35. doi: 10.1109/3477.956045.

PMID:
18244848
6.

Multiagent scheduling method with earliness and tardiness objectives in flexible job shops.

Wu Z, Weng MX.

IEEE Trans Syst Man Cybern B Cybern. 2005 Apr;35(2):293-301.

PMID:
15828657
7.

Evolutionary tuning of a fuzzy dispatching system for automated guided vehicles.

Tan KK, Tan KC, Tang KZ.

IEEE Trans Syst Man Cybern B Cybern. 2000;30(4):632-6. doi: 10.1109/3477.865187.

PMID:
18252396
8.

A neural network approach to job-shop scheduling.

Zhou DN, Cherkassky V, Baldwin TR, Olson DE.

IEEE Trans Neural Netw. 1991;2(1):175-9.

PMID:
18276371
9.

Genetic programming for evolving due-date assignment models in job shop environments.

Nguyen S, Zhang M, Johnston M, Tan KC.

Evol Comput. 2014 Spring;22(1):105-38. doi: 10.1162/EVCO_a_00105. Epub 2013 Oct 30.

PMID:
23614773
10.

Multicriteria meta-heuristics for AGV dispatching control based on computational intelligence.

Naso D, Turchiano B.

IEEE Trans Syst Man Cybern B Cybern. 2005 Apr;35(2):208-26.

PMID:
15828651
11.

A multiobjective interval programming model for wind-hydrothermal power system dispatching using 2-step optimization algorithm.

Ren K, Jihong Q.

ScientificWorldJournal. 2014;2014:825216. doi: 10.1155/2014/825216. Epub 2014 May 7.

12.

MIP models and hybrid algorithms for simultaneous job splitting and scheduling on unrelated parallel machines.

Eroglu DY, Ozmutlu HC.

ScientificWorldJournal. 2014;2014:519520. doi: 10.1155/2014/519520. Epub 2014 Feb 26.

13.

Integrating iterative crossover capability in orthogonal neighborhoods for scheduling resource-constrained projects.

Zamani R.

Evol Comput. 2013 Summer;21(2):341-60. doi: 10.1162/EVCO_a_00085. Epub 2012 Aug 3.

PMID:
22709134
14.

Designing safe job rotation schedules using optimization and heuristic search.

Carnahan BJ, Redfern MS, Norman B.

Ergonomics. 2000 Apr;43(4):543-60.

PMID:
10801086
15.

Macromolecular crowding: chemistry and physics meet biology (Ascona, Switzerland, 10-14 June 2012).

Foffi G, Pastore A, Piazza F, Temussi PA.

Phys Biol. 2013 Aug 2;10(4):040301. [Epub ahead of print]

PMID:
23912807
16.

A synergetic combination of small and large neighborhood schemes in developing an effective procedure for solving the job shop scheduling problem.

Amirghasemi M, Zamani R.

Springerplus. 2014 Apr 16;3:193. doi: 10.1186/2193-1801-3-193. eCollection 2014.

17.

A genetic algorithm-based approach to flexible flow-line scheduling with variable lot sizes.

Lee I, Sikora R, Shaw MJ.

IEEE Trans Syst Man Cybern B Cybern. 1997;27(1):36-54.

PMID:
18255838
18.

A paradigm for computer-assisted radiology resident rotation scheduling.

Wong ST, Huang HK, Goldstein RB, Arenson R, Cruz JC, Ostrow K, Gerson E.

Acad Radiol. 1995 Jun;2(6):533-40.

PMID:
9419602
19.

A hybrid quantum-inspired genetic algorithm for multiobjective flow shop scheduling.

Li BB, Wang L.

IEEE Trans Syst Man Cybern B Cybern. 2007 Jun;37(3):576-91.

PMID:
17550113
20.

Adaptive dynamic programming algorithms for sequential appointment scheduling with patient preferences.

Wang J, Fung RY.

Artif Intell Med. 2015 Jan;63(1):33-40. doi: 10.1016/j.artmed.2014.12.002. Epub 2014 Dec 16.

PMID:
25542290
Format
Items per page
Sort by

Send to:

Choose Destination

Supplemental Content

Write to the Help Desk