190 search results - page 26 / 38 » Combining Convergence and Diversity in Evolutionary Multiobj... |
130
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CEC
2009
IEEE
15 years 8 months ago
2009
IEEE
—Multi-objective optimization is an essential and challenging topic in the domains of engineering and computation because real-world problems usually include several conflicting...
118
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CIDM
2009
IEEE
15 years 8 months ago
2009
IEEE
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
137
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GECCO
2010
Springer
15 years 5 months ago
2010
Springer
The island model for evolutionary algorithms allows to delay the global convergence of the evolution process and encourage diversity. However, solving large size and time-intensiv...
121
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GECCO
2000
Springer
15 years 5 months ago
2000
Springer
A hybrid method of evolutionary algorithms is introduced in this study. The hybrid method includes two additional operations, acceleration and migrating operations. These two oper...
126
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CEC
2010
IEEE
15 years 2 months ago
2010
IEEE
In this paper we present a novel framework for evolving ART-based classification models, which we refer to as MOME-ART. The new training framework aims to evolve populations of ART...