Mixed-integer programming models for optimal constellation scheduling given cloud cover uncertainty
type: Item
instance of: scholarly article
title: Mixed-integer programming models for optimal constellation scheduling given cloud cover uncertainty
zbMATH Open document ID: 1430.90292
author: Christopher G. Valicka
author: Deanna Garcia
author: Andrea Staid
author: Jean-Paul Watson
author: Sivakumar Rathinam
author: Lewis Ntaimo
author: Gabriel A. Hackebeil
published in: European Journal of Operational Research
publication date: 2019-01-28T00:00:00Z
full work available at URL: https://www.osti.gov/biblio/1524209
Mathematics Subject Classification ID: 90B35
Mathematics Subject Classification ID: 90C10
Mathematics Subject Classification ID: 90C15
zbMATH DE Number: 7007120
zbMATH Keywords: scheduling
zbMATH Keywords: integer programming
zbMATH Keywords: stochastic programming
zbMATH Keywords: remote sensing
zbMATH Keywords: weather uncertainty
describes a project that uses: STK
describes a project that uses: PySP
describes a project that uses: Pyomo
MaRDI profile type: Publication
OpenAlex ID: W2901234606
cites work: Time-Indexed Formulations for Machine Scheduling Problems: Column Generation
cites work: Time-indexed formulations for scheduling chains on a single machine: an application to airborne radars
cites work: Scheduling space-ground communications for the air force satellite control network
cites work: Introduction to Stochastic Programming
cites work: Pyomo -- optimization modeling in Python
cites work: Monte Carlo bounding techniques for determinig solution quality in stochastic programs
cites work: Disjunctive Decomposition for Two-Stage Stochastic Mixed-Binary Programs with Random Recourse
cites work: Fenchel decomposition for stochastic mixed-integer programming
cites work: Exact algorithm over an arc-time-indexed formulation for parallel machine scheduling problems
cites work: Scenarios and Policy Aggregation in Optimization Under Uncertainty
cites work: Q4830009
cites work: A pure proactive scheduling algorithm for multiple Earth observation satellites under uncertainties of clouds
cites work: Progressive hedging innovations for a class of stochastic mixed-integer resource allocation problems
cites work: PySP: modeling and solving stochastic programs in Python
cites work: Three Scheduling Algorithms Applied to the Earth Observing Systems Domain
cites work: Q4254875
Wikidata QID: Q128888643
DOI: 10.1016/J.EJOR.2018.11.043
description: scientific article; zbMATH DE number 7007120