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DMIN
2006
126views Data Mining» more  DMIN 2006»
15 years 8 months ago
Comparison and Analysis of Mutation-based Evolutionary Algorithms for ANN Parameters Optimization
Mutation-based Evolutionary Algorithms, also known as Evolutionary Programming (EP) are commonly applied to Artificial Neural Networks (ANN) parameters optimization. This paper pre...
Kristina Davoian, Alexander Reichel, Wolfram-Manfr...
GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
15 years 7 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...
STOC
2006
ACM
129views Algorithms» more  STOC 2006»
16 years 7 months ago
Optimal phylogenetic reconstruction
One of the major tasks of evolutionary biology is the reconstruction of phylogenetic trees from molecular data. The evolutionary model is given by a Markov chain on the true evolu...
Constantinos Daskalakis, Elchanan Mossel, Sé...
CEC
2010
IEEE
15 years 4 months ago
Beating the 'world champion' evolutionary algorithm via REVAC tuning
Abstract-- We present a case study demonstrating that using the REVAC parameter tuning method we can greatly improve the `world champion' EA (the winner of the CEC2005 competi...
Selmar K. Smit, A. E. Eiben
ASUNAM
2011
IEEE
14 years 6 months ago
Evolutionary Clustering and Analysis of Bibliographic Networks
—In this paper, we study the problem of evolutionary clustering of multi-typed objects in a heterogeneous bibliographic network. The traditional methods of homogeneous clustering...
Manish Gupta, Charu C. Aggarwal, Jiawei Han, Yizho...