A New Filled Function Method for Global Optimization
Journal of Global Optimization, ISSN: 0925-5001, Vol: 28, Issue: 1, Page: 17-43
2004
- 134Citations
- 2Captures
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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.
Article Description
A novel filled function is suggested in this paper for identifying a global minimum point for a general class of nonlinear programming problems with a closed bounded domain. Theoretical and numerical properties of the proposed filled function are investigated and a solution algorithm is proposed. The implementation of the algorithm on several test problems is reported with satisfactory numerical results.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=0942277398&origin=inward; http://dx.doi.org/10.1023/b:jogo.0000006653.60256.f6; http://link.springer.com/10.1023/B:JOGO.0000006653.60256.f6; http://dx.doi.org/10.1023/b%3Ajogo.0000006653.60256.f6; https://dx.doi.org/10.1023/b%3Ajogo.0000006653.60256.f6; https://link.springer.com/article/10.1023/B:JOGO.0000006653.60256.f6
Springer Nature
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