We investigate a genetic programming based hyper-heuristic (GPHH) approach to develop "less-myopic" DRs for dynamic JSS. Results show that in the dynamic ten ...
Evolving "less-myopic" scheduling rules for dynamic job shop scheduling with genetic programming. Open Webpage · Rachel Hunt, Mark Johnston, Mengjie Zhang.
Jul 12, 2014 · We consider us- ing a genetic programming based hyper-heuristic (GPHH) approach to developing less-myopic scheduling rules. In a ten machine job ...
We investigate a genetic programming based hyper-heuristic (GPHH) approach to develop "less-myopic" DRs for dynamic JSS. Results show that in the dynamic ten ...
Evolving "less-myopic" scheduling rules for dynamic job shop scheduling with genetic programming. Created by W.Langdon from gp-bibliography.bib Revision:1.7917.
A preliminary approach to evolutionary multitasking for dynamic flexible job shop scheduling via genetic programming · Evolving "less-myopic" scheduling rules ...
Oct 22, 2024 · ... less-myopic” scheduling rules for dy-. namic ... rules for dynamic job shop scheduling. ... When applied to evolve scheduling heuristics for dynamic ...
... evolving compact dispatching rules using genetic programming for dynamic job shop scheduling ... Rules for Dynamic Flexible Job Shop Scheduling ... less-myopic'' ...
... Evolving less-myopic scheduling rules for dy- namic job shop scheduling with genetic programming. In: Proceedings of the 2014 conference on Genetic and ...
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Johnston, and M. Zhang, “Evolving less-myopic scheduling rules for dynamic job shop scheduling with genetic programming,” in. Proceedings of the 2014 Annual ...