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GECCO
2007
Springer
138views Optimization» more  GECCO 2007»
15 years 3 months ago
Reducing the space-time complexity of the CMA-ES
A limited memory version of the covariance matrix adaptation evolution strategy (CMA-ES) is presented. This algorithm, L-CMA-ES, improves the space and time complexity of the CMA-...
James N. Knight, Monte Lunacek
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
15 years 3 months ago
Morphing methods in evolutionary design optimization
Design optimization is a well established application field of evolutionary computation. However, standard recombination operators acting on the genotypic representation of the d...
Michael Nashvili, Markus Olhofer, Bernhard Sendhof...
ATAL
2005
Springer
15 years 3 months ago
Reasoning about joint beliefs for execution-time communication decisions
Just as POMDPs have been used to reason explicitly about uncertainty in single-agent systems, there has been recent interest in using multi-agent POMDPs to coordinate teams of age...
Maayan Roth, Reid G. Simmons, Manuela M. Veloso
AIPS
2008
15 years 1 days ago
Bounded-Parameter Partially Observable Markov Decision Processes
The POMDP is considered as a powerful model for planning under uncertainty. However, it is usually impractical to employ a POMDP with exact parameters to model precisely the real-...
Yaodong Ni, Zhi-Qiang Liu
TSP
2010
14 years 4 months ago
Decentralized sparse signal recovery for compressive sleeping wireless sensor networks
Abstract--This paper develops an optimal decentralized algorithm for sparse signal recovery and demonstrates its application in monitoring localized phenomena using energy-constrai...
Qing Ling, Zhi Tian