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An Effective Solution for Large Scale Single Machine Total Weighted Tardiness Problem using Lunar Cycle Inspired Artificial Bee Colony Algorithm.

• Authors : Sharma N; Sharma H; Sharma A

Subjects: Algorithms* ; Artificial Intelligence* ; Models, Biological*

• Source: IEEE/ACM transactions on computational biology and bioinformatics [IEEE/ACM Trans Comput Biol Bioinform] 2020 Sep-Oct; Vol. 17 (5), pp. 1573-1581. Date of Electronic Publication: Publisher: IEEE Computer Society Country of Publication: United States NLM ID: 101196755 Publication Model: Print-Electronic Cited Medium: Internet

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Mathematical models and migrating birds optimization for robotic U-shaped assembly line balancing problem.

• Authors : Li, Zixiang (AUTHOR); Janardhanan, Mukund Nilakantan (AUTHOR); Ashour, Amira S. (AUTHOR)

Subjects: ASSEMBLY line balancing; TARDINESS; ROBOTIC assembly

• Source: Neural Computing & Applications. Dec2019, Vol. 31 Issue 12, p9095-9111. 17p.

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A multi-agent system for the weighted earliness tardiness parallel machine problem.

• Authors : Polyakovskiy, S.; M'Hallah, R.

Subjects: TARDINESS; PARALLEL processing; MULTIAGENT systems

• Source: Computers & Operations Research. Apr2014, Vol. 44, p115-136. 22p.

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

• Authors : Wu Z; Department of Industrial and Management Systems Engineering, University of South Florida, Tampa, FL 33620, USA. ; Weng MX

Subjects: Absenteeism* ; Algorithms* ; Artificial Intelligence*

• Source: IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society [IEEE Trans Syst Man Cybern B Cybern] 2005 Apr; Publisher: Institute of Electrical and Electronics Engineers, Inc Country of Publication: United States NLM ID: 9890044 Publication Model: Print Cited

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Improve the performance of complex system through artificial intelligence.

• Authors : Medikondu, N. R.¹ (AUTHOR) ; Sankara Rao, V.² (AUTHOR); Gandepudi, Jaya Raju³ (AUTHOR)

Subjects: *ARTIFICIAL intelligence; *TARDINESS; *CLOUD computing

• Source: AIP Conference Proceedings. 2023, Vol. 2821 Issue 1, p1-9. 9p.

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Applied Science & Technology Full Text (H.W. Wilson)

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Design and development of expert system through artificial intelligence.

• Authors : Jitendra, G.; Kumar, O. N. V. P. Bhagavan; Prasad, G. Durga

Subjects: ARTIFICIAL intelligence; TRAVEL time (Traffic engineering); SYSTEMS development

• Source: AIP Conference Proceedings; 2023, Vol. 2821 Issue 1, p1-9, 9p

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Application of artificial intelligence in automation.

• Authors : Kumar, O. N. V. P. Bhagavan; Jitendra, G.; Prasad, G. Durga

Subjects: ARTIFICIAL intelligence; HEURISTIC algorithms; AUTOMATION

• Source: AIP Conference Proceedings; 2023, Vol. 2821 Issue 1, p1-9, 9p

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On the Use of Genetic Algorithm for Solving Re-entrant Flowshop Scheduling with Sum-of-processing-times-based Learning Effect to Minimize Total Tardiness.

• Authors : Win-Chin Lin; Chin-Chia Wu; Kejian Yu

Subjects: GENETIC algorithms; PRODUCTION scheduling; MANUFACTURING processes

• Source: Intelligent Automation & Soft Computing; Dec2018, Vol. 24 Issue 4, p671-681, 11p

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Dynamic adjustment of dispatching rule parameters in flow shops with sequence-dependent set-up times.

• Authors : Heger, Jens; Branke, Jürgen; Hildebrandt, Torsten

Subjects: MATHEMATICAL models; SCHEDULING; PRODUCTION (Economic theory)

• Source: International Journal of Production Research; Nov2016, Vol. 54 Issue 22, p6812-6824, 13p, 1 Diagram, 4 Charts, 4 Graphs

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