SRCCP: A stochastic robust chance-constrained programming model for municipal solid waste management under uncertainty

A hybrid stochastic robust chance-constraint programming (SRCCP) model was developed in this study for supporting municipal solid waste management under uncertainty. The method improves upon the existing robust-optimization (RO) and chance-constraint programming (CCP) approaches by allowing analysis...

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Vydáno v:	Resources, conservation and recycling Ročník 53; číslo 6; s. 352 - 363
Hlavní autoři:	Xu, Y., Huang, G.H., Qin, X.S., Cao, M.F.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Kidlington Elsevier B.V 01.04.2009 Elsevier
Témata:	Applied sciences Chance-constrained programming Compromise programming Conservation Environment Exact sciences and technology General treatment and storage processes Pollution Robust optimization Solid waste management Uncertainty Urban and domestic wastes Wastes Environment Chance-constrained programming Uncertainty Robust optimization Solid waste management Compromise programming Urban waste Long term Modeling Optimization Waste management Solid waste Robustness Regulation Objective function Reliability
ISSN:	0921-3449, 1879-0658
On-line přístup:	Získat plný text
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