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103
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GEM
2008
15 years 4 months ago
Evaluating a Parallel Evolutionary Algorithm on the Chess Endgame Problem
Classifying the endgame positions in Chess can be challenging for humans and is known to be a difficult task in machine learning. An evolutionary algorithm would seem to be the ide...
Wayne Iba, Kelsey Marshman, Benjamin Fisk
117
Voted
INFORMATICALT
2010
116views more  INFORMATICALT 2010»
15 years 21 days ago
A Dynamic Network Interdiction Problem
We present a novel dynamic network interdiction model that accounts for interactions between an interdictor deploying resources on arcs in a digraph and an evader traversing the ne...
Brian J. Lunday, Hanif D. Sherali
121
Voted
IPPS
1996
IEEE
15 years 7 months ago
Practical Algorithms for Selection on Coarse-Grained Parallel Computers
In this paper, we consider the problem of selection on coarse-grained distributed memory parallel computers. We discuss several deterministic and randomized algorithms for paralle...
Ibraheem Al-Furaih, Srinivas Aluru, Sanjay Goil, S...
EMO
2006
Springer
172views Optimization» more  EMO 2006»
15 years 7 months ago
Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) combines a mutation operator that adapts its search distribution to the underlying optimization prob...
Christian Igel, Thorsten Suttorp, Nikolaus Hansen
ACL
2007
15 years 4 months ago
A Simple, Similarity-based Model for Selectional Preferences
We propose a new, simple model for the automatic induction of selectional preferences, using corpus-based semantic similarity metrics. Focusing on the task of semantic role labeli...
Katrin Erk