Multi-agent systems negotiation to deal with dynamic scheduling in disturbed industrial context
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Link
http://link.springer.com/content/pdf/10.1007/s10845-019-01515-7.pdf
Reference37 articles.
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2. Aydogan, R., Baarslag, T., Hindriks, K. V., Jonker, C. M., & Yolum, P. (2013). Heuristic-Based approaches for CP-Nets in negotiation. Complex automated negotiations: Theories, models and software competitions (pp. 113–123). Berlin, Heidelberg: Springer.
3. Blum, C., & Sampels, M. (2004). An ant colony optimization algorithm for shop scheduling problems. Journal of Mathematical Modeling and Algorithms,3(3), 285–308.
4. Botti, V., & Giret, A. (2008). ANEMONA: A multi-agent methodology for holonic manufacturing systems. London: Springer Science & Business Media.
5. Dimopoulos, Y., & Moraitis, P. (2006). Multi-agent coordination and cooperation through classical planning. In Intelligent agent technology, IEEE/WIC/ACM international conference (pp. 398–402). IEEE Computer Society
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