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147
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GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
15 years 4 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
141
Voted
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 7 months ago
Controlling overfitting with multi-objective support vector machines
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
Ingo Mierswa
IMSCCS
2007
IEEE
15 years 9 months ago
Evolutionary Conservation of DNA-Contact residues in DNA-binding Domains
Background: DNA-binding proteins are of utmost importance to gene regulation. The identification of DNA-binding domains is useful for understanding the regulation mechanisms of DN...
Yao-Lin Chang, Huai-Kuang Tsai, Cheng-Yan Kao, Yun...
110
Voted
EVOW
2006
Springer
15 years 7 months ago
A Neural Evolutionary Classification Method for Brain-Wave Analysis
This paper presents an approach to the joint optimization of neural network structure and weights which can take advantage of backpropagation as a specialized decoder. The approach...
Antonia Azzini, Andrea Tettamanzi
VLSID
2002
IEEE
138views VLSI» more  VLSID 2002»
16 years 3 months ago
A Framework for Design Space Exploration of Parameterized VLSI Systems
The paper presents two new approaches to multiobjective design space exploration for parametric VLSI systems. Both considerably reduce the number of simulations needed to determin...
Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi