2126 search results - page 32 / 426 » An optimization algorithm for imprecise multi-objective prob... |
ICANN
2007
Springer
15 years 4 months ago
2007
Springer
Input selection in the nonlinear function approximation is important and difficult problem. Neural networks provide good generalization in many cases, but their interpretability is...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
CEC
2009
IEEE
15 years 4 months ago
2009
IEEE
— Traditional particle swarm optimization (PSO) suffers from the premature convergence problem, which usually results in PSO being trapped in local optima. This paper presents an...
MFCS
2004
Springer
15 years 3 months ago
2004
Springer
We study the problem of optimal preemptive scheduling with respect to a general target function. Given n jobs with associated weights and m ≤ n uniformly related machines, one a...
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DAC
2010
ACM
14 years 10 months ago
2010
ACM
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 ...