Case-based project scheduling
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 0302-9743, Vol: 7466 LNAI, Page: 122-136
2012
- 8Captures
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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.
Metrics Details
- Captures8
- Readers8
Conference Paper Description
This paper presents a new approach for solving the Resource-Constrained Project Scheduling Problem using Case-Based Reasoning in a constructive way. Given a project to be scheduled our method retrieves similar projects scheduled in the past, selects the most similar project, and reuses as much as possible from the old solution to build a schedule for the project at hand. The result of this process is a partial schedule that is later extended and revised to produce a complete and valid schedule by a modified version of the Serial Schedule Generation Scheme. We present experimental results showing that our approach works well under reasonable assumptions. Finally, we describe several ways to modify our algorithm in the future so as to obtain even better results. © 2012 Springer-Verlag.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84866659195&origin=inward; http://dx.doi.org/10.1007/978-3-642-32986-9_11; http://link.springer.com/10.1007/978-3-642-32986-9_11; http://link.springer.com/content/pdf/10.1007/978-3-642-32986-9_11; http://www.springerlink.com/index/10.1007/978-3-642-32986-9_11; http://www.springerlink.com/index/pdf/10.1007/978-3-642-32986-9_11; https://dx.doi.org/10.1007/978-3-642-32986-9_11; https://link.springer.com/chapter/10.1007/978-3-642-32986-9_11
Springer Science and Business Media LLC
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