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GECCO
2008
Springer
165views Optimization» more  GECCO 2008»
13 years 9 months ago
Dual-population genetic algorithm for nonstationary optimization
In order to solve nonstationary optimization problems efficiently, evolutionary algorithms need sufficient diversity to adapt to environmental changes. The dual-population genetic...
Taejin Park, Ri Choe, Kwang Ryel Ryu
ICASSP
2009
IEEE
14 years 3 months ago
Data-driven online variational filtering in wireless sensor networks
In this paper, a data-driven extension of the variational algorithm is proposed. Based on a few selected sensors, target tracking is performed distributively without any informati...
Hichem Snoussi, Jean-Yves Tourneret, Petar M. Djur...
ICDE
2000
IEEE
174views Database» more  ICDE 2000»
14 years 10 months ago
Self-Adaptive User Profiles for Large-Scale Data Delivery
Push-based data delivery requires knowledge of user interests for making scheduling, bandwidthallocation, and routing decisions. Such information is maintained as user profiles. W...
C. Lee Giles, Michael J. Franklin, Ugur Çet...
IWNAS
2006
IEEE
14 years 2 months ago
Hint-based Routing in WSNs using Scope Decay Bloom Filters
— In existing query-based routing protocols in wireless sensor networks (WSNs), a node either keeps precise route information to desired events, such as in event flooding, or do...
Xiuqi Li, Jie Wu, Jun (Jim) Xu
GECCO
2007
Springer
135views Optimization» more  GECCO 2007»
14 years 2 months ago
A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms
In this work we present a novel and efficient algorithm– independent stopping criterion, called the MGBM criterion, suitable for Multiobjective Optimization Evolutionary Algorit...
Luis Martí, Jesús García, Ant...