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» Solving Demodulation as an Optimization Problem
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ICRA
2007
IEEE
134views Robotics» more  ICRA 2007»
15 years 11 months ago
Grasping POMDPs
Abstract— We provide a method for planning under uncertainty for robotic manipulation by partitioning the configuration space into a set of regions that are closed under complia...
Kaijen Hsiao, Leslie Pack Kaelbling, Tomás ...
FCCM
2005
IEEE
124views VLSI» more  FCCM 2005»
15 years 10 months ago
Parallel Hardware Implementation of Cellular Learning Automata Based Evolutionary Computing (CLA-EC) on FPGA
The CLA-EC is a model obtained by combining the concepts of cellular learning automata and evolutionary algorithms. The parallel structure of the CLA-EC makes it suitable for hard...
Arash Hariri, Reza Rastegar, Morteza Saheb Zamani,...
GECCO
2003
Springer
106views Optimization» more  GECCO 2003»
15 years 9 months ago
Taming a Flood with a T-CUP - Designing Flood-Control Structures with a Genetic Algorithm
This paper describes the use of a genetic algorithm to solve a hydrology design problem - determining an optimal or near-optimal prescription of Best Management Practices in a flo...
Jeff Wallace, Sushil J. Louis
GECCO
2006
Springer
237views Optimization» more  GECCO 2006»
15 years 8 months ago
Genetic algorithms to optimise the time to make stock market investment
The application of Artificial Intelligence described in this article is intended to resolve the issue of speculation on the stock market. Genetic Algorithms is the technique that ...
David de la Fuente, Alejandro Garrido, Jaime Lavia...
CDC
2008
IEEE
161views Control Systems» more  CDC 2008»
15 years 6 months ago
A fast algorithm to compute the controllability, decentralized fixed-mode, and minimum-phase radius of LTI systems
In this paper, an efficient algorithm is presented for solving the 2-D optimization problem which is associated with computing the robustness measures of a number of linear time-in...
Simon Lam, Edward J. Davison