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» On Randomized Lanczos Algorithms
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AE
2005
Springer
16 years 29 days ago
Algorithms (X, sigma, eta): Quasi-random Mutations for Evolution Strategies
Randomization is an efficient tool for global optimization. We here define a method which keeps : – the order 0 of evolutionary algorithms (no gradient) ; – the stochastic as...
Anne Auger, Mohamed Jebalia, Olivier Teytaud
DCOSS
2005
Springer
16 years 28 days ago
A Distributed Greedy Algorithm for Connected Sensor Cover in Dense Sensor Networks
Abstract. Achieving optimal battery usage and prolonged network lifetime are two of the most fundamental issues in wireless sensor networks. By exploiting node and data redundancy ...
Amitabha Ghosh, Sajal K. Das
INFOCOM
2003
IEEE
16 years 21 days ago
User-Level Performance of Channel-Aware Scheduling Algorithms in Wireless Data Networks
— Channel-aware scheduling strategies, such as the Proportional Fair algorithm for the CDMA 1xEV-DO system, provide an effective mechanism for improving throughput performance in...
Sem C. Borst
ICALP
2003
Springer
16 years 19 days ago
Analysis of a Simple Evolutionary Algorithm for Minimization in Euclidean Spaces
Although evolutionary algorithms (EAs) are widely used in practical optimization, their theoretical analysis is still in its infancy. Up to now results on the (expected) runtime ar...
Jens Jägersküpper
SPIRE
2009
Springer
15 years 12 months ago
Faster Algorithms for Sampling and Counting Biological Sequences
Abstract. A set of sequences S is pairwise bounded if the Hamming distance between any pair of sequences in S is at most 2d. The Consensus Sequence problem aims to discern between ...
Christina Boucher