1253 search results - page 84 / 251 » Convergence of Evolutionary Algorithms in General Search Spa... |
258
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GECCO
2008
Springer
15 years 7 months ago
2008
Springer
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
136
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GECCO
2005
Springer
15 years 11 months ago
2005
Springer
Evolutionary models typically rely on a single level of evolution for training a team of cooperating agents. I present a model that evolves at two levels—an “organizational”...
194
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
141
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GECCO
2005
Springer
15 years 11 months ago
2005
Springer
This paper presents a mutation-based evolutionary algorithm that evolves genotypic genes for regulating developmental timing of phenotypic values. The genotype sequentially genera...
196
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GECCO
2010
Springer
15 years 4 months ago
2010
Springer
Evolutionary multi-objective optimization deals with the task of computing a minimal set of search points according to a given set of objective functions. The task has been made e...