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GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
15 years 8 months ago
Training Neural Networks with GA Hybrid Algorithms
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
Enrique Alba, J. Francisco Chicano
PERVASIVE
2008
Springer
15 years 3 months ago
Localized power-aware routing in linear wireless sensor networks
Energy-efficency is a key concern when designing protocols for wireless sensor networks (WSN). This is of particular importance in commercial applications where demonstrable retur...
Marco Zimmerling, Waltenegus Dargie, Johnathan M. ...
JIRS
2007
108views more  JIRS 2007»
15 years 3 months ago
GODZILA: A Low-resource Algorithm for Path Planning in Unknown Environments
— In this paper, we propose a novel path-planning and obstacle avoidance algorithm GODZILA for navigation in unknown environments. No prior knowledge of the environment is requir...
Prashanth Krishnamurthy, Farshad Khorrami
GECCO
2008
Springer
104views Optimization» more  GECCO 2008»
15 years 4 months ago
Understanding elementary landscapes
The landscape formalism unites a finite candidate solution set to a neighborhood topology and an objective function. This construct can be used to model the behavior of local sea...
Darrell Whitley, Andrew M. Sutton, Adele E. Howe
IJCAI
2007
15 years 4 months ago
Locality Sensitive Discriminant Analysis
Linear Discriminant Analysis (LDA) is a popular data-analytic tool for studying the class relationship between data points. A major disadvantage of LDA is that it fails to discove...
Deng Cai, Xiaofei He, Kun Zhou, Jiawei Han, Hujun ...