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IWINAC
2005
Springer
14 years 2 months ago
Parallel Evolutionary Computation: Application of an EA to Controller Design
The evolutionary algorithms can be considered as a powerful and interesting technique for solving large kinds of control problems. However, the great disadvantage of the evolutiona...
Manuel Parrilla Sánchez, Joaquín Ara...
DMIN
2006
126views Data Mining» more  DMIN 2006»
13 years 10 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
2006
Springer
164views Optimization» more  GECCO 2006»
14 years 29 days ago
Biobjective evolutionary and heuristic algorithms for intersection of geometric graphs
Wire routing in a VLSI chip often requires minimization of wire-length as well as the number of intersections among multiple nets. Such an optimization problem is computationally ...
Rajeev Kumar, Pramod Kumar Singh, Bhargab B. Bhatt...
BMCBI
2010
150views more  BMCBI 2010»
13 years 9 months ago
Evolutionary rates at codon sites may be used to align sequences and infer protein domain function
Background: Sequence alignments form part of many investigations in molecular biology, including the determination of phylogenetic relationships, the prediction of protein structu...
Pierre M. Durand, Scott Hazelhurst, Theresa L. Coe...
CEC
2007
IEEE
14 years 3 months ago
Parallel learning in heterogeneous multi-robot swarms
Abstract— Designing effective behavioral controllers for mobile robots can be difficult and tedious; this process can be circumvented by using unsupervised learning techniques w...
Jim Pugh, Alcherio Martinoli