Siting recycling drop-off stations in urban area by genetic algorithm-based fuzzy multiobjective nonlinear integer programming modeling
✍ Scribed by Ni-Bin Chang; Y.L. Wei
- Book ID
- 104292944
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 432 KB
- Volume
- 114
- Category
- Article
- ISSN
- 0165-0114
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✦ Synopsis
Due to the rapid depletion of landÿll space and the time-consuming process for siting and building new municipal incinerators, solid waste management strategies have to be reorganized in light of the success of recycling, recovery and reuse of secondary materials. E ective planning of solid waste recycling programs, however, is currently a substantial challenge in many solid waste management systems. One of such e orts is how to e ectively allocate the recycling drop-o stations with appropriate size in the solid waste collection network to maximize the recycling achievement with minimum expense. This paper illustrates a new approach with a view to optimizing siting and routing aspects using a fuzzy multiobjective nonlinear integer programming model as a means that is particularly solved by a genetic algorithm. The case study, based on one of the administrative districts in the city of Kaohsiung in Taiwan, presents the application potential of such a planning methodology.