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

Stochastic Environmental Research and Risk Assessment

Volumn 22, Issue 6, 2008, Pages 759-775

  Guo, P ^a   Huang, G H ^b   He, L ^a  

^a UNIVERSITY OF REGINA   (Canada)

^b NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Chance constrained programming; Decision making; Functional interval; Semi infinite programming; Uncertainty

Indexed keywords

CHANCE-CONSTRAINED PROGRAMMING; COMPOSTING FACILITIES; DECISION MAKING; FUNCTIONAL INTERVAL; LINEAR SEMI-INFINITE PROGRAMMING; MIXED INTEGERS; MUNICIPAL SOLID WASTE; PRACTICAL PROBLEMS; PROBABILITY DISTRIBUTION FUNCTIONS; PROGRAMMING MODELS; PROGRAMMING PROBLEMS; SEMI-INFINITE PROGRAMMING; SOLID WASTE MANAGEMENT AND PLANNING; SOLUTION METHODS; SYSTEM RELIABILITY; TECHNICAL REPORTS; UNCERTAINTY;

DISTRIBUTION FUNCTIONS; FUNCTIONAL PROGRAMMING; HELIUM; INTEGER PROGRAMMING; LINEAR PROGRAMMING; MATHEMATICAL PROGRAMMING; PLANNING; PROBABILITY DISTRIBUTIONS; SOLID WASTES; STOCHASTIC MODELS; STOCHASTIC PROGRAMMING; WASTEWATER TREATMENT;

WASTE MANAGEMENT;

LANDFILL; MODELING; MUNICIPAL SOLID WASTE; PROBABILITY DENSITY FUNCTION; STOCHASTICITY; TRADE-OFF; UNCERTAINTY ANALYSIS; WASTE MANAGEMENT;

EID: 50149106532     PISSN: 14363240     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00477-007-0185-3     Document Type: Article

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