MetaOpt: Examining, explaining, and improving heuristic performance

The MetaOpt workflow involves 4 steps (1) users encode the heuristic; (2) MetaOpt automatically does re-writes to obtain a single-level optimization; (3) it partitions the problem into smaller sub-problems to achieve scale; (4) it uses existing solvers to find the highest performance gap.

Heuristic algorithms, often referred to as heuristics, are tools used to approximate optimal algorithms to make faster and more efficient decisions. These are particularly useful in operational scenarios in production systems, such as determining which server a virtual machine should be assigned to or deciding whether data should be

 

 

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