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149
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GECCO
2008
Springer
15 years 7 months ago
2008
Springer
This work studies the mGA operator (Micro Genetic Algorithm), that has been proposed in literature as a “local search” operator for optimization with Genetic Algorithm. A new ...
173
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GECCO
2008
Springer
15 years 7 months ago
2008
Springer
This paper studies the issue of space coordinate change in genetic algorithms, based on two methods: convex quadratic approximations, and principal component analysis. In both met...
155
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MP
2007
15 years 6 months ago
2007
Many practical optimization problems involve nonsmooth (that is, not necessarily differentiable) functions of thousands of variables. In the paper [Haarala, Miettinen, M¨akel¨a,...
159
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CG
2010
Springer
15 years 4 months ago
2010
Springer
We define the Rook Jumping Maze, provide historical perspective, and describe a generation method for such mazes. When applying stochastic local search algorithms to maze design, m...
201
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ML
2012
ACM
14 years 2 months ago
2012
ACM
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...