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MICRO
1990
IEEE
147views Hardware» more  MICRO 1990»
15 years 1 months ago
Motivation and framework for using genetic algorithms for microcode compaction
Genetic algorithms are a robust adaptive optimization technique based on a biological paradigm. They perform efficient search on poorly-defined spaces by maintaining an ordered po...
Steven J. Beaty, Darrell Whitley, Gearold Johnson
ICCV
1998
IEEE
15 years 11 months ago
Minimizing Algebraic Error in Geometric Estimation Problems
This paper gives a widely applicable technique for solving many of the parameter estimation problems encountered in geometric computer vision. A commonly used approach is to minim...
Richard I. Hartley
CACM
2010
105views more  CACM 2010»
14 years 10 months ago
Censored exploration and the dark pool problem
We introduce and analyze a natural algorithm for multi-venue exploration from censored data, which is motivated by the Dark Pool Problem of modern quantitative finance. We prove t...
Kuzman Ganchev, Yuriy Nevmyvaka, Michael Kearns, J...
JCST
2008
134views more  JCST 2008»
14 years 9 months ago
Orthogonal Methods Based Ant Colony Search for Solving Continuous Optimization Problems
Research into ant colony algorithms for solving continuous optimization problems forms one of the most significant and promising areas in swarm computation. Although traditional an...
Xiaomin Hu, Jun Zhang, Yun Li
NETWORKS
2008
14 years 9 months ago
Lagrangian relaxation and enumeration for solving constrained shortest-path problems
Recently published research indicates that a vertex-labeling algorithm based on dynamic-programming concepts is the most efficient procedure available for solving constrained shor...
W. Matthew Carlyle, Johannes O. Royset, R. Kevin W...