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Author:He, L.
Huang, G. H.
Lu, H. W.
Title:Flexible interval mixed-integer bi-infinite programming for environmental systems management under uncertainty
Journal:Journal of Environmental Management
2009 : APR, VOL. 90:5, p. 1802-1813
Index terms:environment
management research
urban areas
waste
uncertainty
functional analysis
environment
Freeterms:solid waste
flexible interval
flexible interval mixed-integer bi-infinite progra
interval mixed-integer bi-infinite programming(IMI
fuzzy interval mixed-integer programming(FIMIP)
Language:eng
Abstract:In this article, a flexible interval mixed-integer bi-infinite programming (FIMIBIP) method is developed in response to the above concern. A case study is conducted; the solutions are then compared with those obtained from interval mixed-integer bi-infinite programming (IMIBIP) and fuzzy interval mixed-integer programming (FIMIP) methods. It is suggested that the solutions through FIMIBIP can provide decision support for cost-effectively diverting municipal solid waste, and for sizing, timing and siting the facilities’ expansion during the entire planning horizon. The author argues the following: 1) these schemes are more flexible than those identified through IMIBIP since the tolerance intervals are introduced to measure the level of constraints satisfaction. 2) the FIMIBIP schemes may also be robust since the solutions are “globally-optimal” under all scenarios caused by the fluctuation of gas/energy prices, while the conventional ones are merely “locally-optimal” under a certain scenario.
SCIMA record nr: 274484
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