An algorithm for the optimal collection of wet waste. (February 2016)
- Record Type:
- Journal Article
- Title:
- An algorithm for the optimal collection of wet waste. (February 2016)
- Main Title:
- An algorithm for the optimal collection of wet waste
- Authors:
- Laureri, Federica
Minciardi, Riccardo
Robba, Michela - Abstract:
- Highlights: An heuristic algorithm to optimize wet waste collection is proposed. Comparisons are provided between the proposed heuristics and tools for optimization. The models and methods are applied to a specific real case study (the Municipality of Genova). 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 historicalHighlights: An heuristic algorithm to optimize wet waste collection is proposed. Comparisons are provided between the proposed heuristics and tools for optimization. The models and methods are applied to a specific real case study (the Municipality of Genova). 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. … (more)
- Is Part Of:
- Waste management. Volume 48(2016)
- Journal:
- Waste management
- Issue:
- Volume 48(2016)
- Issue Display:
- Volume 48, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 48
- Issue:
- 2016
- Issue Sort Value:
- 2016-0048-2016-0000
- Page Start:
- 56
- Page End:
- 63
- Publication Date:
- 2016-02
- Subjects:
- Optimization -- Selective collection -- Waste management -- Solid waste collection -- Recycling -- Wet waste
Hazardous wastes -- Periodicals
Refuse and refuse disposal -- Periodicals
363.728 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0956053X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.wasman.2015.09.020 ↗
- Languages:
- English
- ISSNs:
- 0956-053X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9266.674500
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 7634.xml