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» Approximate algorithms for neural-Bayesian approaches
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EVOW
2009
Springer
15 years 4 months ago
Validation of a Morphogenesis Model of Drosophila Early Development by a Multi-objective Evolutionary Optimization Algorithm
We apply evolutionary computation to calibrate the parameters of a morphogenesis model of Drosophila early development. The model aims to describe the establishment of the steady g...
Rui Dilão, Daniele Muraro, Miguel Nicolau, ...
SIGGRAPH
1992
ACM
15 years 2 months ago
An importance-driven radiosity algorithm
We present a new radiosi[y algorithm for efficiently computing global solutions with respect to a constrained set of views. Radiosi ties of directly visible surfaces are computed ...
Brian E. Smits, James Arvo, David Salesin
AINA
2009
IEEE
15 years 4 months ago
A Range-Only Tracking Algorithm for Wireless Sensor Networks
Over the last few years, target tracking in wireless sensor networks has become a topic of particular interest. This paper presents a tracking system intended for deployment in di...
Evangelos B. Mazomenos, Jeffrey S. Reeve, Neil M. ...
GECCO
2004
Springer
131views Optimization» more  GECCO 2004»
15 years 3 months ago
PolyEDA: Combining Estimation of Distribution Algorithms and Linear Inequality Constraints
Estimation of distribution algorithms (EDAs) are population-based heuristic search methods that use probabilistic models of good solutions to guide their search. When applied to co...
Jörn Grahl, Franz Rothlauf
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
15 years 1 months ago
Multi-objective optimization tool for a free structure analog circuits design using genetic algorithms and incorporating parasit
This paper presents a novel approach for a free structure analog circuit design using Genetic Algorithms (GA). A major problem in a free structure circuit is its sensitivity calcu...
Yaser M. A. Khalifa, Badar K. Khan, Faisal Taha