190 search results - page 18 / 38 » Combining Convergence and Diversity in Evolutionary Multiobj... |
117
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IJON
2006
15 years 1 months ago
2006
Ensembles of learning machines have been formally and empirically shown to outperform (generalise better than) single predictors in many cases. Evidence suggests that ensembles ge...
185
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IPPS
2007
IEEE
15 years 8 months ago
2007
IEEE
This paper deals with the use of parallel processing for multi-objective optimization in applications in which the objective functions, the restrictions, and hence also the soluti...
114
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DAC
2008
ACM
16 years 2 months ago
2008
ACM
In this paper, a novel automatic approach for the concurrent topology and routing optimization that achieves a high quality network layout is proposed. This optimization is based ...
EMO
2005
Springer
15 years 7 months ago
2005
Springer
Abstract. Multi-objective evolutionary algorithms (MOEAs) have proven to be a powerful tool for global optimization purposes of deterministic problem functions. Yet, in many real-w...
138
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GECCO
2010
Springer
15 years 6 months ago
2010
Springer
The fundamental dichotomy in evolutionary algorithms is that between exploration and exploitation. Recently, several algorithms [8, 9, 14, 16, 17, 20] have been introduced that gu...