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GECCO
2003
Springer
14 years 3 months ago
Scalability of Selectorecombinative Genetic Algorithms for Problems with Tight Linkage
Ensuring building-block (BB) mixing is critical to the success of genetic and evolutionary algorithms. This study develops facetwise models to predict the BB mixing time and the po...
Kumara Sastry, David E. Goldberg
SSDBM
2007
IEEE
121views Database» more  SSDBM 2007»
14 years 4 months ago
Cost-based Optimization of Complex Scientific Queries
High energy physics scientists analyze large amounts of data looking for interesting events when particles collide. These analyses are easily expressed using complex queries that ...
Ruslan Fomkin, Tore Risch
WSC
2008
14 years 8 days ago
A rate result for simulation optimization with conditional value-at-risk constraints
We study a stochastic optimization problem that has its roots in financial portfolio design. The problem has a specified deterministic objective function and constraints on the co...
Soumyadip Ghosh
LCPC
2004
Springer
14 years 3 months ago
Empirical Performance-Model Driven Data Layout Optimization
Abstract. Empirical optimizers like ATLAS have been very effective in optimizing computational kernels in libraries. The best choice of parameters such as tile size and degree of l...
Qingda Lu, Xiaoyang Gao, Sriram Krishnamoorthy, Ge...
BMCBI
2006
116views more  BMCBI 2006»
13 years 10 months ago
Optimized mixed Markov models for motif identification
Background: Identifying functional elements, such as transcriptional factor binding sites, is a fundamental step in reconstructing gene regulatory networks and remains a challengi...
Weichun Huang, David M. Umbach, Uwe Ohler, Leping ...