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[ACM Press the 9th annual conference - London, England (2007.07.07-2007.07.11)] Proceedings of the 9th annual conference on Genetic and evolutionary computation - GECCO '07 - MRPSO

✍ Scribed by McNabb, Andrew W.; Monson, Christopher K.; Seppi, Kevin D.


Book ID
126452355
Publisher
ACM Press
Year
2007
Tongue
English
Weight
54 KB
Category
Article
ISBN
1595936971

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[ACM Press the 9th annual conference - L
✍ Corne, David W.; Knowles, Joshua D. πŸ“‚ Article πŸ“… 2007 πŸ› ACM Press 🌐 English βš– 340 KB

The research area of evolutionary multiobjective optimization (EMO) is reaching better understandings of the properties and capabilities of EMO algorithms, and accumulating much evidence of their worth in practical scenarios. An urgent emerging issue is that the favoured EMO algorithms scale poorly