Brain storm optimization algorithm
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 0302-9743, Vol: 6728 LNCS, Issue: PART 1, Page: 303-309
2011
- 686Citations
- 123Captures
- 3Mentions
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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.
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Conference Paper Description
Human being is the most intelligent animal in this world. Intuitively, optimization algorithm inspired by human being creative problem solving process should be superior to the optimization algorithms inspired by collective behavior of insects like ants, bee, etc. In this paper, we introduce a novel brain storm optimization algorithm, which was inspired by the human brainstorming process. Two benchmark functions were tested to validate the effectiveness and usefulness of the proposed algorithm. © 2011 Springer-Verlag.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=79958194494&origin=inward; http://dx.doi.org/10.1007/978-3-642-21515-5_36; http://link.springer.com/10.1007/978-3-642-21515-5_36; http://link.springer.com/content/pdf/10.1007/978-3-642-21515-5_36; https://doi.org/10.1007%2F978-3-642-21515-5_36; https://dx.doi.org/10.1007/978-3-642-21515-5_36; https://link.springer.com/chapter/10.1007/978-3-642-21515-5_36
Springer Nature
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