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» Solving iterated functions using genetic programming
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CVPR
2008
IEEE
16 years 5 months ago
3D occlusion recovery using few cameras
We present a practical framework for detecting and modeling 3D static occlusions for wide-baseline, multi-camera scenarios where the number of cameras is small. The framework cons...
Mark A. Keck, James W. Davis
128
Voted
SAT
2005
Springer
104views Hardware» more  SAT 2005»
15 years 9 months ago
Observed Lower Bounds for Random 3-SAT Phase Transition Density Using Linear Programming
We introduce two incomplete polynomial time algorithms to solve satisfiability problems which both use Linear Programming (LP) techniques. First, the FlipFlop LP attempts to simul...
Marijn Heule, Hans van Maaren
114
Voted
GECCO
2005
Springer
147views Optimization» more  GECCO 2005»
15 years 9 months ago
Unbiased tournament selection
Tournament selection is a popular form of selection which is commonly used with genetic algorithms, genetic programming and evolutionary programming. However, tournament selection...
Artem Sokolov, Darrell Whitley
111
Voted
CEC
2010
IEEE
15 years 4 months ago
Evolving programs with parameters and loops
At the current state of the art, genetic programs do not contain two constructs that commonly occur in programs written by humans, that is, loops and functions with parameters. In ...
Gayan Wijesinghe, Victor Ciesielski
136
Voted
WSC
2004
15 years 5 months ago
Simulation-Based Optimization Using Simulated Annealing With Confidence Interval
This paper develops a variant of Simulated Annealing (SA) algorithm for solving discrete stochastic optimization problems where the objective function is stochastic and can be eva...
Talal M. Alkhamis, Mohamed A. Ahmed