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Approximating two-stage chance-constrained programs with classical probability bounds

Approximating two-stage chance-constrained programs with classical probability bounds
Approximating two-stage chance-constrained programs with classical probability bounds
We consider a joint-chance constraint (JCC) as a union of sets, and approximate this union using bounds from classical probability theory. When these bounds are used in an optimization model constrained by the JCC, we obtain corresponding upper and lower bounds on the optimal objective function value. We compare the strength of these bounds against each other under two different sampling schemes, and observe that a larger correlation between the uncertainties tends to result in more computationally challenging optimization models. We also observe the same set of inequalities to provide the tightest upper and lower bounds in our computational experiments.
1862-4480
1403-1416
Singh, Bismark
9d3fc6cb-f55e-4562-9d5f-42f9a3ddd9a1
Watson, Jean-Paul
a9781540-b93b-4cfa-9d7a-4f6d046a380b
Singh, Bismark
9d3fc6cb-f55e-4562-9d5f-42f9a3ddd9a1
Watson, Jean-Paul
a9781540-b93b-4cfa-9d7a-4f6d046a380b

Singh, Bismark and Watson, Jean-Paul (2019) Approximating two-stage chance-constrained programs with classical probability bounds. Optimization Letters, 13 (6), 1403-1416. (doi:10.1007/s11590-019-01387-z).

Record type: Article

Abstract

We consider a joint-chance constraint (JCC) as a union of sets, and approximate this union using bounds from classical probability theory. When these bounds are used in an optimization model constrained by the JCC, we obtain corresponding upper and lower bounds on the optimal objective function value. We compare the strength of these bounds against each other under two different sampling schemes, and observe that a larger correlation between the uncertainties tends to result in more computationally challenging optimization models. We also observe the same set of inequalities to provide the tightest upper and lower bounds in our computational experiments.

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More information

Accepted/In Press date: 2 January 2019
Published date: 16 March 2019

Identifiers

Local EPrints ID: 471299
URI: http://eprints.soton.ac.uk/id/eprint/471299
ISSN: 1862-4480
PURE UUID: d628c7c0-abee-479d-bf58-89a774d3d326
ORCID for Bismark Singh: ORCID iD orcid.org/0000-0002-6943-657X

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Date deposited: 02 Nov 2022 17:41
Last modified: 17 Mar 2024 04:16

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Contributors

Author: Bismark Singh ORCID iD
Author: Jean-Paul Watson

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