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88
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GECCO
2009
Springer
15 years 7 months ago
2009
Springer
Typical domains used in machine learning analyses only partially cover the complexity space, remaining a large proportion of problem difficulties that are not tested. Since the ac...
136
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EMO
2001
Springer
15 years 6 months ago
2001
Springer
This paper studies the influence of what are recognized as key issues in evolutionary multi-objective optimization: archiving (to keep track of the current non-dominated solutions...
123
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EC
2002
15 years 2 months ago
2002
Over the past few years, the research on evolutionary algorithms has demonstrated their niche in solving multiobjective optimization problems, where the goal is to nd a number of ...
127
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EMO
2006
Springer
15 years 6 months ago
2006
Springer
With the popularity of efficient multi-objective evolutionary optimization (EMO) techniques and the need for such problem-solving activities in practice, EMO methodologies and EMO ...
162
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PPSN
2010
Springer
15 years 23 days ago
2010
Springer
Existing privacy-preserving evolutionary algorithms are limited to specific problems securing only cost function evaluation. This lack of functionality and security prevents thei...