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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 - ExGA II

✍ Scribed by Rohlfshagen, Philipp; Bullinaria, John A.

Book ID
121810024
Publisher
ACM Press
Year
2007
Weight
204 KB
Category
Article
ISBN
1595936971

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[ACM Press the 9th annual conference - L
[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 - Techniques for highly multiobjective optimisation
✍ 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