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» Solving iterated functions using genetic programming
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167
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VLSID
2010
IEEE
155views VLSI» more  VLSID 2010»
15 years 1 months ago
Synchronized Generation of Directed Tests Using Satisfiability Solving
Directed test generation is important for the functional verification of complex system-on-chip designs. SAT based bounded model checking is promising for counterexample generatio...
Xiaoke Qin, Mingsong Chen, Prabhat Mishra
156
Voted
GECCO
2008
Springer
201views Optimization» more  GECCO 2008»
15 years 4 months ago
Advanced techniques for the creation and propagation of modules in cartesian genetic programming
The choice of an appropriate hardware representation model is key to successful evolution of digital circuits. One of the most popular models is cartesian genetic programming, whi...
Paul Kaufmann, Marco Platzner
ECCV
2000
Springer
16 years 5 months ago
Model Based Pose Estimator Using Linear-Programming
Given a ? object and some measurements for points in this object, it is desired to find the ? location of the object. A new model based pose estimator from stereo pairs based on l...
Moshe Ben-Ezra, Shmuel Peleg, Michael Werman
EAAI
2007
125views more  EAAI 2007»
15 years 3 months ago
Nearly optimal neural network stabilization of bipedal standing using genetic algorithm
In this work, stability control of bipedal standing is investigated. The biped is simplified as an inverted pendulum with a foot-link. The controller consists of a general regres...
Reza Ghorbani, Qiong Wu, G. Gary Wang
185
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EUSFLAT
2009
195views Fuzzy Logic» more  EUSFLAT 2009»
15 years 1 months ago
Optimization of an Oil Production System using Neural Networks and Genetic Algorithms
This paper proposes an optimization strategy which is based on neural networks and genetic algorithms to calculate the optimal values of gas injection rate and oil rate for oil pro...
Guillermo Jimenez de la Cruz, Jose A. Ruz-Hernande...