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» Directional self-learning of genetic algorithm
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AC
1998
Springer
14 years 9 months ago
Cellular Automata Models of Self-Replicating Systems
Abstract: Since von Neumann's seminal work around 1950, computer scientists and others have studied the algorithms needed to support self-replicating systems. Much of this wor...
James A. Reggia, Hui-Hsien Chou, Jason D. Lohn
GECCO
2008
Springer
133views Optimization» more  GECCO 2008»
14 years 10 months ago
Using feature-based fitness evaluation in symbolic regression with added noise
Symbolic regression is a popular genetic programming (GP) application. Typically, the fitness function for this task is based on a sum-of-errors, involving the values of the depe...
Janine H. Imada, Brian J. Ross
INFOCOM
2010
IEEE
14 years 8 months ago
Asymmetry-Aware Real-Time Distributed Joint Resource Allocation in IEEE 802.22 WRANs
—In IEEE 802.22 Wireless Regional Area Networks (WRANs), each Base Station (BS) solves a complex resource allocation problem of simultaneously determining the channel to reuse, p...
Hyoil Kim, Kang G. Shin
BSN
2009
IEEE
140views Sensor Networks» more  BSN 2009»
15 years 4 months ago
A Distributed Hidden Markov Model for Fine-grained Annotation in Body Sensor Networks
—Human movement models often divide movements into parts. In walking the stride can be segmented into four different parts, and in golf and other sports, the swing is divided int...
Eric Guenterberg, Hassan Ghasemzadeh, Roozbeh Jafa...
104
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ICST
2009
IEEE
15 years 4 months ago
Generating Feasible Transition Paths for Testing from an Extended Finite State Machine (EFSM)
The problem of testing from an extended finite state machine (EFSM) can be expressed in terms of finding suitable paths through the EFSM and then deriving test data to follow the ...
Abdul Salam Kalaji, Robert M. Hierons, Stephen Swi...