MetaOpt heading

MetaOpt

Towards efficient heuristic design where we achieve quantifiable and confident performance

We use heuristics all the time across many systems including those that are critical to production services. Production systems use heuristics because they are faster or scale better than their optimal counterparts. But practitioners often don’t know the performance gap between the heuristic and the optimal, or another heuristic in realistic scenarios. We present MetaOpt, a system that helps analyze heuristics.

Personne

Portrait of Behnaz Arzani

Behnaz Arzani

Chercheur principal

Portrait of Ryan Beckett

Ryan Beckett

Chercheur principal

Portrait of Siva Kesava Reddy Kakarla

Siva Kesava Reddy Kakarla

Chercheur senior

Portrait of Pooria Namyar

Pooria Namyar

Student

University of Southern California

Portrait of Solal Pirelli

Solal Pirelli

Stagiaire de recherche

EPFL

Portrait of Santiago Segarra

Santiago Segarra

Assistant Professor

Rice University