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» A Grid-Enabled Adaptive Problem Solving Environment
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ICAC
2006
IEEE
14 years 2 days ago
Hardness of Approximation and Greedy Algorithms for the Adaptation Problem in Virtual Environments
— Over the past decade, wide-area distributed computing has emerged as a powerful computing paradigm. Virtual machines greatly simplify wide-area distributed computing ing the ab...
Ananth I. Sundararaj, Manan Sanghi, John R. Lange,...
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
14 years 6 days ago
Two adaptive mutation operators for optima tracking in dynamic optimization problems with evolution strategies
The dynamic optimization problem concerns finding an optimum in a changing environment. In the tracking problem, the optimizer should be able to follow the optimum’s changes ov...
Claudio Rossi, Antonio Barrientos, Jaime del Cerro
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
13 years 9 months ago
Dominance learning in diploid genetic algorithms for dynamic optimization problems
This paper proposes an adaptive dominance mechanism for diploidy genetic algorithms in dynamic environments. In this scheme, the genotype to phenotype mapping in each gene locus i...
Shengxiang Yang
HPDC
2000
IEEE
13 years 10 months ago
2K: A Distributed Operating System for Dynamic Heterogeneous Environments
The first decades of the new millennium will witness an explosive growth in the number and diversity of networked devices and portals. We foresee high degrees of mobility, hetero...
Fabio Kon, Roy H. Campbell, M. Dennis Mickunas, Kl...
ICASSP
2008
IEEE
14 years 14 days ago
Robust adaptive beamforming for general-rank signal models using positive semi-definite covariance constraint
In this paper, we develop an improved approach to the worstcase robust adaptive beamforming for general-rank signal models by means of taking into account the positive semi-defin...
Haihua Chen, Alex B. Gershman