Combinatorial optimization with multiple resources and energy constraints
Résumé
The OREM project takes place in a context where energy considerations are becoming paramount in the resolution of real-world applications. The goal is to address the combinatorial optimization challenge of integrating energy constraints in deterministic scheduling models such as job-shop scheduling or resource-constrained project scheduling. The specificity of this project is to consider multiple energy sources with constraints related to their physical, technological and performance characteristics. New hybridization of techniques and solution methods : combination of patterns generation (including dual solutions-based filtering) and propagation of resources constraints for the scheduling problem are considered. The ambition of the project is to define a new and efficient methodology for the integration of the energy sources characteristics in combinatorial optimization problems.
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