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ANNS
2010
14 years 9 months ago
Search Space Restriction of Neuro-evolution through Constrained Modularization of Neural Networks
Evolving recurrent neural networks for behavior control of robots equipped with larger sets of sensors and actuators is difficult due to the large search spaces that come with the ...
Christian W. Rempis, Frank Pasemann

Book
357views
17 years 21 days ago
Foundations of Constraint Satisfaction
"Constraint satisfaction is a general problem in which the goal is to find values for a set of variables that will satisfy a given set of constraints. It is the core of many a...
Edward Tsang
IJWIN
2007
68views more  IJWIN 2007»
15 years 2 months ago
Density-Independent, Scalable Search in Ad Hoc Networks
— We analyze the asymptotic cost of discovering a route within a flat ad hoc network and we show that one can discover a route with cost that is proportional only to the area of...
Zygmunt J. Haas, Rimon Barr
IJHIS
2006
104views more  IJHIS 2006»
15 years 2 months ago
Incremental evolution strategy for function optimization
This paper presents a novel evolutionary approach for function optimization Incremental Evolution Strategy (IES). Two strategies are proposed. One is to evolve the input variables...
Sheng Uei Guan, Wenting Mo
JCIT
2008
103views more  JCIT 2008»
15 years 2 months ago
Implementation of Filter Reverse Search System based on Spatial Relationships of Filters
Firewall is a useful technique that ensures network security. Firewall examines network packets and determines whether to accept or deny them based on an ordered set of filters. I...
Yi Yin, Kazuaki Hida, Yoshiaki Katayama, Naohisa T...