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GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
16 years 14 hour ago
A statistical learning theory approach of bloat
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in the framework of sy...
Sylvain Gelly, Olivier Teytaud, Nicolas Bredeche, ...
SODA
2010
ACM
216views Algorithms» more  SODA 2010»
16 years 3 months ago
On linear and semidefinite programming relaxations for hypergraph matching
The hypergraph matching problem is to find a largest collection of disjoint hyperedges in a hypergraph. This is a well-studied problem in combinatorial optimization and graph theo...
Yuk Hei Chan, Lap Chi Lau
TSMC
2010
15 years 1 months ago
Bio-inspired Algorithms for Autonomous Deployment and Localization of Sensor Nodes
Abstract--Optimal deployment and accurate localization of sensor nodes have a strong influence on the performance of a wireless sensor network (WSN). This paper considers real-time...
Raghavendra V. Kulkarni, Ganesh K. Venayagamoorthy
ICASSP
2011
IEEE
14 years 10 months ago
A robust artificial noise aided transmit design for MISO secrecy
This paper considers an artificial noise (AN) aided secrecy rate maximization (SRM) problem for a multi-input single-output (MISO) channel overheard by multiple single-antenna ea...
Qiang Li, Wing-Kin Ma
GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
15 years 11 months ago
New Usage of SOM for Genetic Algorithms
Abstract. Self-Organizing Map (SOM) is an unsupervised learning neural network and it is used for preserving the structural relationships in the data without prior knowledge. SOM h...
Jung Hwan Kim, Byung Ro Moon