Machine learning methods for hard optimization problems?

01 January 2019 1 609 Report

Regularly, for the hard scheduling problems (e.g., scheduling, sequencing, network design, etc.) we use heuristic/meta-heuristic/hyper-heuristic algorithms to so-called reveal landscape of an objective function, and finally to find an optimum or a near-optimum solution for that.

Do you have any idea how to use machine learning methods to PREDICT landscape (or something similar to it) of the objective function, in a more timely manner?

Please share your thoughts.

Mahdi Homayouni

Hi Nicolas Dupin

Thanks for sharing the keyword BBO, it's quite helpful

Can you please share any related references?

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