Optimization technologies and environmental applications
IMA Journal of Management Mathematics, ISSN: 1471-678X, Vol: 13, Issue: 3, Page: 167-185
2002
- 5Citations
- 15Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Review Description
In this work, we focus on the interaction between optimisation technologies and the management of natural resources. In recent years, the environmental impact of planning decisions has received increasing attention, as negative effects on the ecosystem may affect production and consumption. Hence, there is a need to assess and quantify environmental services as well as environmental impacts, so that these can be included in the decision-making process. At the same time, recent trends in optimisation software and Internet technology have spawned a new research area in the field of distributed optimisation applications for several domains, including environmental management. We make use of the platform developed within the OSP CRAFT project, and implement an Internet-based Decision Support System (DSS), which embodies a land management stochastic programming model. The platform takes advantage of an Application Service Provision architecture, whereby decision makers are able to access the optimisation model and analyse its solutions on a subscription basis. In this framework, the remote DSS is easily interfaced with existing local repository of environment data, such as pollution measurements, soil and water resources information, as well as global GIS datasets. © 2002 Oxford University Press .
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=0344193510&origin=inward; http://dx.doi.org/10.1093/imaman/13.3.167; https://academic.oup.com/imaman/article-lookup/doi/10.1093/imaman/13.3.167; http://academic.oup.com/imaman/article-pdf/13/3/167/2003373/dpg002.pdf; https://dx.doi.org/10.1093/imaman/13.3.167; https://academic.oup.com/imaman/article-abstract/13/3/167/686399?redirectedFrom=fulltext
Oxford University Press (OUP)
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