An algorithm for the optimal collection of wet waste.
Identifieur interne : 000050 ( Main/Exploration ); précédent : 000049; suivant : 000051An algorithm for the optimal collection of wet waste.
Auteurs : Federica Laureri [Italie] ; Riccardo Minciardi [Italie] ; Michela Robba [Italie]Source :
- Waste management (New York, N.Y.) ; 2016.
Abstract
This work refers to the development of an approach for planning wet waste (food waste and other) collection at a metropolitan scale. Some specific modeling features distinguish this specific waste collection problem from the other ones. For instance, there may be significant differences as regards the values of the parameters (such as weight and volume) characterizing the various collection points. As it happens for classical waste collection planning, even in the case of wet waste, one has to deal with difficult combinatorial problems, where the determination of an optimal solution may require a very large computational effort, in the case of problem instances having a noticeable dimensionality. For this reason, in this work, a heuristic procedure for the optimal planning of wet waste is developed and applied to problem instances drawn from a real case study. The performances that can be obtained by applying such a procedure are evaluated by a comparison with those obtainable via a general-purpose mathematical programming software package, as well as those obtained by applying very simple decision rules commonly used in practice. The considered case study consists in an area corresponding to the historical center of the Municipality of Genoa.
DOI: 10.1016/j.wasman.2015.09.020
PubMed: 26454710
Affiliations:
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Electronic address: Michela.robba@unige.it.</nlm:affiliation><country xml:lang="fr">Italie</country><wicri:regionArea>Department of Informatics, Bioengineering, Robotics and Systems Engineering - DIBRIS, Via Opera Pia 13, I-16145 Genova</wicri:regionArea><wicri:noRegion>I-16145 Genova</wicri:noRegion></affiliation></author></analytic><series><title level="j">Waste management (New York, N.Y.)</title><idno type="e-ISSN">1879-2456</idno><imprint><date when="2016" type="published">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This work refers to the development of an approach for planning wet waste (food waste and other) collection at a metropolitan scale. Some specific modeling features distinguish this specific waste collection problem from the other ones. For instance, there may be significant differences as regards the values of the parameters (such as weight and volume) characterizing the various collection points. As it happens for classical waste collection planning, even in the case of wet waste, one has to deal with difficult combinatorial problems, where the determination of an optimal solution may require a very large computational effort, in the case of problem instances having a noticeable dimensionality. For this reason, in this work, a heuristic procedure for the optimal planning of wet waste is developed and applied to problem instances drawn from a real case study. The performances that can be obtained by applying such a procedure are evaluated by a comparison with those obtainable via a general-purpose mathematical programming software package, as well as those obtained by applying very simple decision rules commonly used in practice. The considered case study consists in an area corresponding to the historical center of the Municipality of Genoa.</div></front></TEI><affiliations><list><country><li>Italie</li></country></list><tree><country name="Italie"><noRegion><name sortKey="Laureri, Federica" sort="Laureri, Federica" uniqKey="Laureri F" first="Federica" last="Laureri">Federica Laureri</name></noRegion><name sortKey="Minciardi, Riccardo" sort="Minciardi, Riccardo" uniqKey="Minciardi R" first="Riccardo" last="Minciardi">Riccardo Minciardi</name><name sortKey="Robba, Michela" sort="Robba, Michela" uniqKey="Robba M" first="Michela" last="Robba">Michela Robba</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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