ISMISIP: an inexact stochastic mixed integer linear semi-infinite programming approach for solid waste management and planning under uncertainty

DOI10.1007/s00477-007-0185-3zbMath1409.90210OpenAlexW2010582035MaRDI QIDQ1731536

Xianqiang Yang

Publication date: 13 March 2019

Published in: Stochastic Environmental Research and Risk Assessment (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00477-007-0185-3

zbMATH Keywords

uncertaintydecision makingsemi-infinite programmingchance-constrained programmingfunctional interval

Mathematics Subject Classification ID

Integer programming (90C10) Linear programming (90C05) Stochastic programming (90C15) Management decision making, including multiple objectives (90B50) Semi-infinite programming (90C34)

Related Items (6)

Dual inexact fuzzy chance-constrained programming for planning waste management systems ⋮ A multi-objective optimal allocation model for irrigation water resources under multiple uncertainties ⋮ Recent contributions to linear semi-infinite optimization ⋮ Recent contributions to linear semi-infinite optimization: an update ⋮ Two-stage fuzzy chance-constrained programming: application to water resources management under dual uncertainties ⋮ Planning of municipal solid waste management systems under dual uncertainties: a hybrid interval stochastic programming approach

Uses Software

• NSIPS

Cites Work

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