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» Optimization by Stochastic Continuation
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CEC
2009
IEEE
16 years 1 months ago
The Differential Ant-Stigmergy Algorithm applied to dynamic optimization problems
— Many real-world problems are dynamic, requiring an optimization algorithm which is able to continuously track a changing optimum over time. In this paper, we present a stigmerg...
Peter Korosec, Jurij Silc
CEC
2011
IEEE
14 years 6 months ago
Stochastic Natural Gradient Descent by estimation of empirical covariances
—Stochastic relaxation aims at finding the minimum of a fitness function by identifying a proper sequence of distributions, in a given model, that minimize the expected value o...
Luigi Malagò, Matteo Matteucci, Giovanni Pi...
DAC
2006
ACM
16 years 7 months ago
Stochastic variational analysis of large power grids considering intra-die correlations
For statistical timing and power analysis that are very important problems in the sub-100nm technologies, stochastic analysis of power grids that characterizes the voltage fluctua...
Praveen Ghanta, Sarma B. K. Vrudhula, Sarvesh Bhar...
BMCBI
2010
185views more  BMCBI 2010»
15 years 1 months ago
MetaPIGA v2.0: maximum likelihood large phylogeny estimation using the metapopulation genetic algorithm and other stochastic heu
Background: The development, in the last decade, of stochastic heuristics implemented in robust application softwares has made large phylogeny inference a key step in most compara...
Raphaël Helaers, Michel C. Milinkovitch
CORR
2010
Springer
106views Education» more  CORR 2010»
15 years 3 months ago
Optimal measures and transition kernels
Abstract. We study positive measures that are solutions to an abstract optimisation problem, which is a generalisation of a classical variational problem with a constraint on infor...
Roman V. Belavkin