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GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
13 years 11 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...
DAC
2010
ACM
13 years 10 months ago
A correlation-based design space exploration methodology for multi-processor systems-on-chip
Given the increasing complexity of multi-processor systems-onchip, a wide range of parameters must be tuned to find the best trade-offs in terms of the selected system figures of ...
Giovanni Mariani, Aleksandar Brankovic, Gianluca P...
GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
13 years 10 months ago
Implicit fitness and heterogeneous preferences in the genetic algorithm
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Justin T. H. Smith
BMCBI
2010
122views more  BMCBI 2010»
13 years 10 months ago
Fast and accurate protein substructure searching with simulated annealing and GPUs
Background: Searching a database of protein structures for matches to a query structure, or occurrences of a structural motif, is an important task in structural biology and bioin...
Alex Stivala, Peter J. Stuckey, Anthony Wirth
BMCBI
2008
148views more  BMCBI 2008»
13 years 10 months ago
Discovering biclusters in gene expression data based on high-dimensional linear geometries
Background: In DNA microarray experiments, discovering groups of genes that share similar transcriptional characteristics is instrumental in functional annotation, tissue classifi...
Xiangchao Gan, Alan Wee-Chung Liew, Hong Yan