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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. |
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