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» Hybrid Optimizations: Which Optimization Algorithm to Use
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MOBIHOC
2005
ACM
16 years 4 months ago
Power balanced coverage-time optimization for clustered wireless sensor networks
We consider a wireless sensor network in which sensors are grouped into clusters, each with its own cluster head (CH). Each CH collects data from sensors in its cluster and relays...
Tao Shu, Marwan Krunz, Sarma B. K. Vrudhula
TON
2010
147views more  TON 2010»
15 years 2 months ago
Coverage-time optimization for clustered wireless sensor networks: a power-balancing approach
—In this paper, we investigate the maximization of the coverage time for a clustered wireless sensor network (WSN) by optimal balancing of power consumption among cluster heads (...
Tao Shu, Marwan Krunz
GECCO
2005
Springer
196views Optimization» more  GECCO 2005»
15 years 10 months ago
Breeding swarms: a new approach to recurrent neural network training
This paper shows that a novel hybrid algorithm, Breeding Swarms, performs equal to, or better than, Genetic Algorithms and Particle Swarm Optimizers when training recurrent neural...
Matthew Settles, Paul Nathan, Terence Soule
ITSL
2008
15 years 5 months ago
An Empirical Comparison of NML Clustering Algorithms
Clustering can be defined as a data assignment problem where the goal is to partition the data into nonhierarchical groups of items. In our previous work, we suggested an informati...
Petri Kontkanen, Petri Myllymäki
GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
15 years 10 months ago
Combining competent crossover and mutation operators: a probabilistic model building approach
This paper presents an approach to combine competent crossover and mutation operators via probabilistic model building. Both operators are based on the probabilistic model buildin...
Cláudio F. Lima, Kumara Sastry, David E. Go...