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CEC
2007
IEEE
16 years 13 days ago
Computational chemotaxis in ants and bacteria over dynamic environments
— Chemotaxis can be defined as an innate behavioural response by an organism to a directional stimulus, in which bacteria, and other single-cell or multicellular organisms direct...
Vitorino Ramos, Carlos Fernandes, Agostinho C. Ros...
IPPS
2009
IEEE
16 years 22 days ago
Power-aware dynamic task scheduling for heterogeneous accelerated clusters
Recent accelerators such as GPUs achieve better cost-performance and watt-performance ratio, while the range of their application is more limited than general CPUs. Thus heterogen...
Tomoaki Hamano, Toshio Endo, Satoshi Matsuoka
PRL
2006
139views more  PRL 2006»
15 years 6 months ago
Adaptive Hausdorff distances and dynamic clustering of symbolic interval data
This paper presents a partitional dynamic clustering method for interval data based on adaptive Hausdorff distances. Dynamic clustering algorithms are iterative two-step relocatio...
Francisco de A. T. de Carvalho, Renata M. C. R. de...
191
Voted
BIBE
2008
IEEE
142views Bioinformatics» more  BIBE 2008»
16 years 17 days ago
Optimizing performance, cost, and sensitivity in pairwise sequence search on a cluster of PlayStations
— The Smith-Waterman algorithm is a dynamic programming method for determining optimal local alignments between nucleotide or protein sequences. However, it suffers from quadrati...
Ashwin M. Aji, Wu-chun Feng
CEC
2008
IEEE
16 years 17 days ago
A comparative study of the effect of parameter scalability in multi-objective metaheuristics
Abstract—Some real-world optimization problems have hundreds or even thousands of decision variables. However, the effect that the scalability of parameters has in modern multiob...
Juan José Durillo, Antonio J. Nebro, Carlos...