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FPGA
2010
ACM
232views FPGA» more  FPGA 2010»
13 years 7 months ago
High-throughput bayesian computing machine with reconfigurable hardware
We use reconfigurable hardware to construct a high throughput Bayesian computing machine (BCM) capable of evaluating probabilistic networks with arbitrary DAG (directed acyclic gr...
Mingjie Lin, Ilia Lebedev, John Wawrzynek
GECCO
2009
Springer
157views Optimization» more  GECCO 2009»
14 years 2 months ago
Multi material topological optimization of structures and mechanisms
Multi-material 3D-printing technologies permit the freeform fabrication of complex spatial arrangements of materials in arbitrary geometries. This technology has opened the door t...
Jonathan D. Hiller, Hod Lipson
CP
2004
Springer
14 years 1 months ago
Preprocessing Techniques for Distributed Constraint Optimization
Abstract. Although algorithms for Distributed Constraint Optimization Problems (DCOPs) have emerged as a key technique for distributed reasoning, their application faces significa...
Syed Muhammad Ali, Sven Koenig, Milind Tambe
CEC
2008
IEEE
14 years 2 months ago
Divide and conquer evolutionary TSP solution for vehicle path planning
— The problem of robotic area coverage is applicable to many domains, such as search, agriculture, cleaning, and machine tooling. The robotic area coverage task is concerned with...
Ryan J. Meuth, Donald C. Wunsch
CEC
2007
IEEE
14 years 2 months ago
Bayesian inference in estimation of distribution algorithms
— Metaheuristics such as Estimation of Distribution Algorithms and the Cross-Entropy method use probabilistic modelling and inference to generate candidate solutions in optimizat...
Marcus Gallagher, Ian Wood, Jonathan M. Keith, Geo...