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GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
14 years 7 days ago
Local search for multiobjective function optimization: pareto descent method
Genetic Algorithm (GA) is known as a potent multiobjective optimization method, and the effectiveness of hybridizing it with local search (LS) has recently been reported in the li...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi
DAM
2007
91views more  DAM 2007»
13 years 8 months ago
Integer linear programming approaches for non-unique probe selection
In addition to their prevalent use for analyzing gene expression, DNA microarrays are an efficient tool for biological, medical, and industrial applications because of their abil...
Gunnar W. Klau, Sven Rahmann, Alexander Schliep, M...
CEC
2009
IEEE
14 years 17 days ago
Towards connectivity improvement in VANETs using bypass links
VANETs are ad hoc networks in which devices are vehicles moving at high speeds. This kind of network is getting more and more importance since it has many practical and important a...
Bernabé Dorronsoro Díaz, Patricia Ru...
ASPDAC
2011
ACM
227views Hardware» more  ASPDAC 2011»
13 years 6 days ago
Minimizing buffer requirements for throughput constrained parallel execution of synchronous dataflow graph
– This paper concerns throughput-constrained parallel execution of synchronous data flow graphs. This paper assumes static mapping and dynamic scheduling of nodes, which has seve...
Tae-ho Shin, Hyunok Oh, Soonhoi Ha
ML
2010
ACM
119views Machine Learning» more  ML 2010»
13 years 7 months ago
A cooperative coevolutionary algorithm for instance selection for instance-based learning
This paper presents a cooperative evolutionary approach for the problem of instance selection for instance based learning. The presented model takes advantage of one of the most r...
Nicolás García-Pedrajas, Juan Antoni...