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Allowing human flexibility in cyber-physical optimization

Published on:

6 March 2024

Primary Category:

Optimization and Control

Paper Authors:

Andrea Simonetto


Key Details

Proposes deterministic and stochastic flexible optimization formulations

Deterministic method based on robust optimization, finds maximal 'box' of good solutions

Stochastic method models human choice, less conservative

Algorithms converge to unique equilibrium points

Combines the approaches into an overall workflow

AI generated summary

Allowing human flexibility in cyber-physical optimization

This paper explores methods to construct optimization problems that yield sets of reasonable, near-optimal solutions for humans to choose from, rather than a single rigid solution. This introduces flexibility and transparency. One method uses robust optimization to find the largest 'box' of good solutions. Another uses decision-dependent stochastic optimization to model human choice.

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