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GECCO
2010
Springer
248views Optimization» more  GECCO 2010»
14 years 1 months ago
Integrating decision space diversity into hypervolume-based multiobjective search
Multiobjective optimization in general aims at learning about the problem at hand. Usually the focus lies on objective space properties such as the front shape and the distributio...
Tamara Ulrich, Johannes Bader, Eckart Zitzler
EH
2003
IEEE
117views Hardware» more  EH 2003»
14 years 3 months ago
The Evolutionary Design and Synthesis of Non-Linear Digital VLSI Systems
This paper describes a multi-objective Evolutionary Algorithm (EA) system for the synthesis of efficient non-linear VLSI circuit modules. The EA takes the specification for a no...
Robert Thomson, Tughrul Arslan
AAAI
2006
13 years 11 months ago
A Direct Evolutionary Feature Extraction Algorithm for Classifying High Dimensional Data
Among various feature extraction algorithms, those based on genetic algorithms are promising owing to their potential parallelizability and possible applications in large scale an...
Qijun Zhao, David Zhang, Hongtao Lu
GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
13 years 11 months ago
Evolutionary facial feature selection
With the growing number of acquired physiological and behavioral biometric samples, biometric data sets are experiencing tremendous growth. As database sizes increase, exhaustive ...
Aaron K. Baughman
GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
14 years 4 months ago
An informed convergence accelerator for evolutionary multiobjective optimiser
A novel optimisation accelerator deploying neural network predictions and objective space direct manipulation strategies is presented. The concept of directing the search through ...
Salem F. Adra, Ian Griffin, Peter J. Fleming