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» Evolutionary Computation for Modeling and Optimization
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EVOW
2004
Springer
15 years 9 months ago
Multi-objective Sensor Planning for Efficient and Accurate Object Reconstruction
A novel approach for sensor planning, which incorporates multi-objective optimization principals into the autonomous design of sensing strategies, is presented. The study addresses...
Enrique Dunn, Gustavo Olague
ISBRA
2010
Springer
15 years 4 months ago
A Consensus Tree Approach for Reconstructing Human Evolutionary History and Detecting Population Substructure
The random accumulation of variations in the human genome over time implicitly encodes a history of how human populations have arisen, dispersed, and intermixed since we emerged as...
Ming-Chi Tsai, Guy E. Blelloch, R. Ravi, Russell S...
GECCO
2007
Springer
211views Optimization» more  GECCO 2007»
16 years 5 days ago
Multi-objective univariate marginal distribution optimisation of mixed analogue-digital signal circuits
Design for specific customer service plays a crucial role for the majority of the market in modern electronics. However, adaptability to an individual customer results in increasi...
Lyudmila Zinchenko, Matthias Radecker, Fabio Bisog...
BMCBI
2008
138views more  BMCBI 2008»
15 years 6 months ago
Using neural networks and evolutionary information in decoy discrimination for protein tertiary structure prediction
Background: We present a novel method of protein fold decoy discrimination using machine learning, more specifically using neural networks. Here, decoy discrimination is represent...
Ching-Wai Tan, David T. Jones
GECCO
2005
Springer
104views Optimization» more  GECCO 2005»
15 years 11 months ago
MOEA design of robust digital symbol sets
Optimal constellation design is important in military digital communications for Quadrature Amplitude Modulation (QAM). Optimization realizes a reduced probability of bit error (P...
Richard O. Day, Abel S. Nunez, Gary B. Lamont