Planning of municipal solid waste management systems under dual uncertainties: a hybrid interval stochastic programming approach
DOI10.1007/s00477-008-0251-5zbMath1418.90147OpenAlexW2115833019MaRDI QIDQ2001943
Publication date: 11 July 2019
Published in: Stochastic Environmental Research and Risk Assessment (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00477-008-0251-5
chance-constrained programmingmunicipal solid waste managementinexact optimizationdual uncertaintyrandom boundary interval
Applications of statistics to environmental and related topics (62P12) Applications of mathematical programming (90C90) Sensitivity, stability, parametric optimization (90C31) Linear programming (90C05) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08)
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Cites Work
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- A chance-constrained approach to stochastic line balancing problem
- Rehabilitation and replacement of water distribution system components considering uncertainties
- A linear approximation method for solving a special class of the chance constrained programming problem
- Comparison of methodologies for fuzzy and stochastic multi-objective programming
- Monte Carlo (importance) sampling within a Benders decomposition algorithm for stochastic linear programs
- A fuzzy goal programming approach for the optimal planning of metropolitan solid waste management systems
- A hybrid inexact-stochastic water management model
- A joint chance-constrained programming model with row dependence
- Cut sharing for multistage stochastic linear programs with interstage dependency
- Grey integer programming: an application to waste management planning under uncertainty
- ISMISIP: an inexact stochastic mixed integer linear semi-infinite programming approach for solid waste management and planning under uncertainty
- Planning hydroelectric resources with recourse-based multistage interval-stochastic programming
- Stochastic programs for identifying critical structure collapse mechanisms
- ITOM: An interval-parameter two-stage optimization model for stochastic planning of water resources systems
- Chance-Constrained Programming
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